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CoRR, September 2025
Volume 2025-09, September 2025
- Djamila Rekioua, Saloua Belaid, Pierre-Olivier Logerais, Toufik Rekioua, Zahra Mokrani, Khoudir Kakouche, Adel Oubelaid, Faika Zaouche:
Supervision of a Photovoltaic/Batteries System for Stand Alone Applications. - Rohit Dube:
Per-sender neural network classifiers for email authorship validation. - Motunrayo Adebayo:
Case Studies: Effective Approaches for Navigating Cross-Border Cloud Data Transfers Amid U.S. Government Privacy and Safety Concerns. - Riya Kinnarkar, Mansur Arief:
Optimized Renewable Energy Planning MDP for Socially-Equitable Electricity Coverage in the US. - Abu Shad Ahammed, Sayeri Mukherjee, Roman Obermaisser:
Diagnosing Psychiatric Patients: Can Large Language and Machine Learning Models Perform Effectively in Emergency Cases? - Elie Thellier, Huiyu Li, Nicholas Ayache, Hervé Delingette:
Mitigating Data Exfiltration Attacks through Layer-Wise Learning Rate Decay Fine-Tuning. - Leo Vitasovic, Stella Graßhof, Agnes Mercedes Kloft, Ville V. Lehtola, Martin Cunneen, Justyna Starostka, Glenn McGarry, Kun Li, Sami S. Brandt:
From Sound to Sight: Towards AI-authored Music Videos. - Marshall Thomas, Edward Fish, Richard Bowden:
MultiStream-LLM: Bridging Modalities for Robust Sign Language Translation. - Qitao Tan, Xiaoying Song, Jin Lu, Guoming Li, Jun Liu, Lingzi Hong, Caiwen Ding, Jundong Li, Xiaoming Zhai, Shaoyi Huang, Wei Niu, Geng Yuan:
End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost. - Tahoshin Alam Ishat, Mohammad Abdul Qayum:
Deep Learning-Driven Multimodal Detection and Movement Analysis of Objects in Culinary. - Mert Sehri, Ana Cardoso, Francisco de Assis Boldt, Patrick Dumond:
Industrial Steel Slag Flow Data Loading Method for Deep Learning Applications. - Yuxuan Yin, Rebecca Chen, Boxun Xu, Chen He, Peng Li:
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing. - Cheng Jin, Zhenyu Xiao, Yuantao Gu:
A-FloPS: Accelerating Diffusion Sampling with Adaptive Flow Path Sampler. - Teo Susnjak:
Compiling Prompts, Not Crafting Them: A Reproducible Workflow for AI-Assisted Evidence Synthesis. - Yuqi Li, Chuanguang Yang, Junhao Dong, Zhengtao Yao, Haoyan Xu, Zeyu Dong, Hansheng Zeng, Zhulin An, Yingli Tian:
AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models. - Chengkai Dai, Tao Liu, Dezhao Guo, Binzhi Sun, Guoxin Fang, Yeung Yam, Charlie C. L. Wang:
Curve-based slicer for multi-axis DLP 3D printing. - Poyraz Baydemir:
ARTPS: Depth-Enhanced Hybrid Anomaly Detection and Learnable Curiosity Score for Autonomous Rover Target Prioritization. - Md Faizul Bari, Yi Xie, Meghna Roy Choudhury, Shreyas Sen:
Keystroke Detection by Exploiting Unintended RF Emission from Repaired USB Keyboards. - Xiang Li, Chong Zhang, Hongpeng Wang, Shreyank Narayana Gowda, Yushi Li, Xiaobo Jin:
Performance is not All You Need: Sustainability Considerations for Algorithms. - Chunming Ye, Songzhou Li, Xu Xu:
Exploring and Reshaping the Weight Distribution in LLM. - Jina Kim:
Teaching AI to Remember: Insights from Brain-Inspired Replay in Continual Learning. - Methusela Sulle, Judith Mwakalonge, Gurcan Comert, Saidi Siuhi, Nana Kankam Gyimah:
Harnessing ADAS for Pedestrian Safety: A Data-Driven Exploration of Fatality Reduction. - Mohammad Nooraiepour, Mohammad Masoudi, Zezhang Song, Helge Hellevang:
Adaptive Physics-Informed Neural Networks with Multi-Category Feature Engineering for Hydrogen Sorption Prediction in Clays, Shales, and Coals. - David Kurtenbach, Megan Manly, Zach Metzinger:
Applying Deep Learning to Anomaly Detection of Russian Satellite Activity for Indications Prior to Military Activity. - Faria Binte Kader, Santu Karmaker:
A Survey on Evaluation Metrics for Music Generation. - Jianzhi Long, Wenhao Sun, Rongcheng Tu, Dacheng Tao:
Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation. - Shuo Liu, Di Yao, Yan Lin, Gao Cong, Jingping Bi:
Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining? - Haimei Pan, Jiyun Zhang, Qinxi Wei, Xiongnan Jin, Chen Xinkai, Jie Cheng:
Robotic Fire Risk Detection based on Dynamic Knowledge Graph Reasoning: An LLM-Driven Approach with Graph Chain-of-Thought. - Tongtong Feng, Xin Wang, Feilin Han, Leping Zhang, Wenwu Zhu:
U2UData-2: A Scalable Swarm UAVs Autonomous Flight Dataset for Long-horizon Tasks. - Luu Tu Nguyen, Vu Tram Anh Khuong, Thanh Ha Le, Thi Duyen Ngo:
MESTI-MEGANet: Micro-expression Spatio-Temporal Image and Micro-expression Gradient Attention Networks for Micro-expression Recognition. - Yousuf Moiz Ali, Jaroslaw E. Prilepsky, Nicola Sambo, João Pedro, Mohammad M. Hosseini, Antonio Napoli, Sergei K. Turitsyn, Pedro J. Freire:
From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis. - Eric Zhang, Li Wei, Sarah Chen, Michael Wang:
A Comparative Study of Controllability, Explainability, and Performance in Dysfluency Detection Models. - Andres Alejandre, Kassandra Delfin, Victor Castano:
Cryptographic Challenges: Masking Sensitive Data in Cyber Crimes through ASCII Art. - Yingjun Tian, Guoxin Fang, Renbo Su, Aoran Lyu, Neelotpal Dutta, Simeon Gill, Andrew Weightman, Charlie C. L. Wang:
Correspondence-Free, Function-Based Sim-to-Real Learning for Deformable Surface Control. - Ekansh Singh:
Design and Testing of a Low-Cost 3D-Printed Servo Gimbal for Thrust Vector Control in Model Rockets. - Justin Jung:
Scaffold Diffusion: Sparse Multi-Category Voxel Structure Generation with Discrete Diffusion. - Mingze Liu, Sai Fan, Haozhen Li, Haobo Liang, Yixing Yuan, Yanke Wang:
OpenTie: Open-vocabulary Sequential Rebar Tying System. - Zhitao Wang, Yirong Xiong, Roberto Horowitz, Yanke Wang, Yuxing Han:
Hybrid Perception and Equivariant Diffusion for Robust Multi-Node Rebar Tying. - Chuanxiang Yang, Yuanfeng Zhou, Guangshun Wei, Siyu Ren, Yuan Liu, Junhui Hou, Wenping Wang:
T-MLP: Tailed Multi-Layer Perceptron for Level-of-Detail Signal Representation. - Caroline Vandyck, Wouter Haverals, Mike Kestemont:
Making Characters Count. A Computational Approach to Scribal Profiling in 14th-Century Middle Dutch Manuscripts from the Carthusian Monastery of Herne. - Jiancheng Ye, Michelle Ma, Malak Abuhashish:
The Collaborations among Healthcare Systems, Research Institutions, and Industry on Artificial Intelligence Research and Development. - Prasasthy Balasubramanian, Dumindu Kankanamge, Ekaterina Gilman, Mourad Oussalah:
AnomalyExplainer Explainable AI for LLM-based anomaly detection using BERTViz and Captum. - Shang Liu, Jing Wang, Wenji Fang, Zhiyao Xie:
SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits. - Terry Jingchen Zhang, Gopal Dev, Ning Wang, Nicole Ni, Wenyuan Jiang, Yinya Huang, Bernhard Schölkopf, Mrinmaya Sachan, Zhijing Jin:
Beyond Memorization: Reasoning-Driven Synthesis as a Mitigation Strategy Against Benchmark Contamination. - Ankit Shetgaonkar, Dipen Pradhan, Lakshit Arora, Sanjay Surendranath Girija, Shashank Kapoor, Aman Raj:
Mitigating Clinician Information Overload: Generative AI for Integrated EHR and RPM Data Analysis. - Cédric Colas, Tracey Mills, Ben Prystawski, Michael Henry Tessler, Noah D. Goodman, Jacob Andreas, Joshua B. Tenenbaum:
Language and Experience: A Computational Model of Social Learning in Complex Tasks. - Zachery Dahm, Konstantinos Vasili, Vasileios Theos, Konstantinos Gkouliaras, William Richards, True Miller, Brian Jowers, Stylianos Chatzidakis:
Experimental Assessment of a Multi-Class AI/ML Architecture for Real-Time Characterization of Cyber Events in a Live Research Reactor. - Andrew G. A. Correa, Ana C. H. de Matos:
Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation. - David Freire-Obregón:
Wrong Face, Wrong Move: The Social Dynamics of Emotion Misperception in Agent-Based Models. - Luca Cotti, Anisa Rula, Devis Bianchini, Federico Cerutti:
Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies. - Laksh Patel, Neel Shanbhag:
Data Cartography for Detecting Memorization Hotspots and Guiding Data Interventions in Generative Models. - Qibin Wang, Pu Zhao, Shaohan Huang, Fangkai Yang, Lu Wang, Furu Wei, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs. - Tobin South:
Private, Verifiable, and Auditable AI Systems. - Rodrigo Tertulino:
Centralized vs. Federated Learning for Educational Data Mining: A Comparative Study on Student Performance Prediction with SAEB Microdata. - Mojtaba Moattari:
Yet Unnoticed in LSTM: Binary Tree Based Input Reordering, Weight Regularization, and Gate Nonlinearization. - Ting-Chun Liu, Ching Yu Hsu, Kuan-Yi Lee, Chi-An Fu, Hung-yi Lee:
AEGIS : Automated Co-Evolutionary Framework for Guarding Prompt Injections Schema. - Dengjin Li, Yanming Guo, Yuxiang Xie, Zheng Li, Jiangming Chen, Xiaolong Li, Mingrui Lao:
Learning from Peers: Collaborative Ensemble Adversarial Training. - Ephraiem Sarabamoun:
Ensemble Debates with Local Large Language Models for AI Alignment. - G. Charbel N. Kindji, Elisa Fromont, Lina Maria Rojas-Barahona, Tanguy Urvoy:
Robust Detection of Synthetic Tabular Data under Schema Variability. - Sophia Falk, David Ekchajzer, Thibault Pirson, Etienne Lees-Perasso, Augustin Wattiez, Lisa Biber-Freudenberger, Sasha Luccioni, Aimee van Wynsberghe:
More than Carbon: Cradle-to-Grave environmental impacts of GenAI training on the Nvidia A100 GPU. - Prasun Nandy, Debjit Dhar, Rik Das:
Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization. - Yao Fu, Runchao Li, Xianxuan Long, Haotian Yu, Xiaotian Han, Yin Yu, Pan Li:
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs. - Kaiqi Zhao:
Progressive Element-wise Gradient Estimation for Neural Network Quantization. - Huixiang Zhang, Mahzabeen Emu, Salimur Choudhury:
LLM-QUBO: An End-to-End Framework for Automated QUBO Transformation from Natural Language Problem Descriptions. - Rahul Anand:
MODE: Mixture of Document Experts for RAG. - Saurab Chhachhi, Fei Teng:
Privacy, Informed Consent and the Demand for Anonymisation of Smart Meter Data. - Phu X. Nguyen, Huy Phan, Hieu Pham, Christos Chatzichristos, Bert Vandenberk, Maarten De Vos:
Exploiting a Mixture-of-Layers in an Electrocardiography Foundation Model. - Robert MacKnight, Jose Emilio Regio, Jeffrey G. Ethier, Luke A. Baldwin, Gabe Gomes:
Pre-trained knowledge elevates large language models beyond traditional chemical reaction optimizers. - Ruopengyu Xu, Chenglian Liu:
Enhanced Rényi Entropy-Based Post-Quantum Key Agreement with Provable Security and Information-Theoretic Guarantees. - Shaoting Feng, Hanchen Li, Kuntai Du, Zhuohan Gu, Yuhan Liu, Jiayi Yao, Siddhant Ray, Samuel Shen, Yihua Cheng, Ganesh Ananthanarayanan, Junchen Jiang:
AdaptCache: KV Cache Native Storage Hierarchy for Low-Delay and High-Quality Language Model Serving. - Anas M. Ali, Anis Koubaa, Bilel Benjdira:
Dual-Stage Global and Local Feature Framework for Image Dehazing. - Theodor Stoecker, Samed Bayer, Ingo Weber:
Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy. - Adel Vehrer, Zsolt Palfalusi:
The Application of Virtual Environments and Artificial Intelligence in Higher Education: Experimental Findings in Philosophy Teaching. - Johan Malmstedt, Giacomo Nanni, Dario Rodighiero:
The Living Library of Trees: Mapping Knowledge Ecology in the Arnold Arboretum. - Manish Shukla:
Adaptive Monitoring and Real-World Evaluation of Agentic AI Systems. - Jared Perlo, Alexander Robey, Fazl Barez, Luciano Floridi, Jakob Mökander:
Embodied AI: Emerging Risks and Opportunities for Policy Action. - Jake Robbennolt, Sirajum Munira, Stephen D. Boyles:
A Comparative Study of Spline-Based Trajectory Reconstruction Methods Across Varying Automatic Vehicle Location Data Densities. - Eyal Briman, Eyal Leizerovich, Nimrod Talmon:
Algorithms for Collaborative Harmonization. - Shaked Zychlinski:
A Whole New World: Creating a Parallel-Poisoned Web Only AI-Agents Can See. - Ang Li, Zhihang Yuan, Yang Zhang, Shouda Liu, Yisen Wang:
Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning. - Manzi Aimé Ntagengerwa, Georgiana Caltais, Mariëlle Stoelinga:
Fault Tree Synthesis from Knowledge Graphs. - Chang Liu, T. D. Khoa Le, Rahul Saini, Kishor Chandra Joshi, George Exarchakos:
VOTA: Parallelizing 6G-RAN Experimentation with Virtualized Over-The-Air Workloads. - Ivan Slootweg, Natalia P. García-de-la-Puente, Geert Litjens, Salma Dammak:
Self-supervised large-scale kidney abnormality detection in drug safety assessment studies. - Peiwen Xing, Aske Plaat, Niki van Stein:
CoComposer: LLM Multi-agent Collaborative Music Composition. - Davin Choo, Yohai Trabelsi, Fentabil Getnet, Samson Warkaye Lamma, Wondesen Nigatu, Kasahun Sime, Lisa Matay, Milind Tambe, Stéphane Verguet:
Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget. - Merlinda Andoni, Benoit Couraud, Valentin Robu, Jamie Blanche, Sonam Norbu, Si Chen, Satria Putra Kanugrahan, David Flynn:
Comparative Techno-economic Assessment of Wind-Powered Green Hydrogen Pathways. - Songhui Yue:
LLM-based Triplet Extraction for Automated Ontology Generation in Software Engineering Standards. - Anuraj Maurya:
Scaling Legal AI: Benchmarking Mamba and Transformers for Statutory Classification and Case Law Retrieval. - W. F. Lamberti, S. R. Lawrence, D. White, S. Kim, S. Abdullah:
Pilot Study on Generative AI and Critical Thinking in Higher Education Classrooms. - James Cranch, Georg Struth, Jana Wagemaker:
Generalised Möbius Categories and Convolution Kleene Algebras. - Shahiduz Zaman, Tanzima Hashem, Sukarna Barua:
Efficient Computation of Trip-based Group Nearest Neighbor Queries (Full Version). - Pedro Savarese:
Principled Approximation Methods for Efficient and Scalable Deep Learning. - Niraj Gohil, Alexander Franke, Nawshad Haque, Amro M. Farid:
Spatio-Temporal Life Cycle Analysis of Electrolytic H2 Production in Australia under Time-Varying CO2 Management Schemes. - Muhammad Ali, Salman Khan:
Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments. - Faizan Farooq Khan, Vladan Stojnic, Zakaria Laskar, Mohamed Elhoseiny, Giorgos Tolias:
Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision Encoders. - Marina Y. Aoyama, João Moura, Juan Del Aguila Ferrandis, Sethu Vijayakumar:
Poke and Strike: Learning Task-Informed Exploration Policies. - Daniel Ablin, Alon Cohen:
Playing Markov Games Without Observing Payoffs. - Nguyen K. Phan, Guoning Chen:
Evaluate Neighbor Search for Curve-based Vector Field Processing. - Uwe D. Hanebeck:
Newton-Flow Particle Filters based on Generalized Cramér Distance. - Hongyu Wang, Jingquan Wang, Dan Negrut:
FNODE: Flow-Matching for data-driven simulation of constrained multibody systems. - Alexandru Baltag, Malvin Gattinger, Djanira Gomes:
Virtual Group Knowledge and Group Belief in Topological Evidence Models (Extended Version). - Jian Wu, Sarah Rajtmajer:
What Are Research Hypotheses? - Arnab Das, Yassine El Kheir, Carlos Franzreb, Tim Herzig, Tim Polzehl, Sebastian Möller:
Generalizable Audio Spoofing Detection using Non-Semantic Representations. - Jinzhou Tang, Jusheng Zhang, Qinhan Lv, Sidi Liu, Jing Yang, Chengpei Tang, Keze Wang:
HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution. - Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley:
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics. - Younggun Kim, Sirnam Swetha, Fazil Kagdi, Mubarak Shah:
Safe-LLaVA: A Privacy-Preserving Vision-Language Dataset and Benchmark for Biometric Safety. - Lise-Marie Imbert-Gérard:
A quasi-Trefftz space for a second order time-harmonic Maxwell's equation. - Hao Mark Chen, Zhiwen Mo, Guanxi Lu, Shuang Liang, Lingxiao Ma, Wayne Luk, Hongxiang Fan:
Democratizing Agentic AI with Fast Test-Time Scaling on the Edge. - Chen Zheng, Zhenyu Zhao:
Algorithm Adaptation Bias in Recommendation System Online Experiments. - Zhongpan Tang:
From TLinFormer to TConstFormer: The Leap to Constant-Time Transformer Attention: Achieving O(1) Computation and O(1) KV Cache during Autoregressive Inference. - Xuyang Li, Mahdi Masmoudi, Rami Gharbi, Nizar Lajnef, Vishnu Naresh Boddeti:
Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements. - Silei Song, Arash Fahim, Michael Mascagni:
WoSNN: Stochastic Solver for PDEs with Machine Learning. - Jinzhou Tang, Jusheng Zhang, Sidi Liu, Waikit Xiu, Qinhan Lv, Xiying Li:
Beyond Pixels: Introducing Geometric-Semantic World Priors for Video-based Embodied Models via Spatio-temporal Alignment. - Farhan Fuad Abir, Abigail Elliott Daly, Kyle Anderman, Tolga Ozmen, Laura J. Brattain:
Multimodal Deep Learning for Phyllodes Tumor Classification from Ultrasound and Clinical Data. - Joseph Amigo, Rooholla Khorrambakht, Elliot Chane-Sane, Nicolas Mansard, Ludovic Righetti:
First Order Model-Based RL through Decoupled Backpropagation. - Ruokai Yin, Sattwik Deb Mishra, Xuan Zuo, Hokchhay Tann, Preyas Shah, Apala Guha:
Learning to Shard: RL for Co-optimizing the Parallelism Degrees and Per-operator Sharding Dimensions in Distributed LLM Inference. - Aleksandra Landowska, Aislinn Gomez Bergin, Ayodeji Opeyemi Abioye, Jayati Deshmukh, Andriana Bouadouki, Maria Wheadon, Athina Georgara, Dominic Price, Tuyen Nguyen, Shuang Ao, Lokesh Singh, Yi Long, Raffaele Miele, Joel E. Fischer, Sarvapali D. Ramchurn:
Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting - UKAIRS 2025 (Copy). - Jaya Narain, Zakaria Aldeneh, Shirley You Ren:
Speech Foundation Models Generalize to Time Series Tasks from Wearable Sensor Data. - Alejandro N. Diaz, Jacob T. Needels, Irina K. Tezaur, Patrick J. Blonigan:
Kernel manifolds: nonlinear-augmentation dimensionality reduction using reproducing kernel Hilbert spaces. - Rene Parlange, Juan C. Cuevas-Tello, Octavio Valenzuela, Omar de J. Cabrera-Rosas, Tomás Verdugo, Anupreeta More, Anton Timur Jaelani:
GraViT: Transfer Learning with Vision Transformers and MLP-Mixer for Strong Gravitational Lens Discovery. - Linus Stuhlmann, Michael Alexander Saxer:
Evaluating the Effectiveness of Transformer Layers in Wav2Vec 2.0, XLS-R, and Whisper for Speaker Identification Tasks. - Danil D. Kazimirov, Dmitry P. Nikolaev:
A High-Accuracy Fast Hough Transform with Linear-Log-Cubed Computational Complexity for Arbitrary-Shaped Images. - Shaena Ulissi, Andrew Dumit, P. James Joyce, Krishna Rao, Steven Watson, Sangwon Suh:
Criteria for Credible AI-assisted Carbon Footprinting Systems: The Cases of Mapping and Lifecycle Modeling. - Peter Belcak, Pavlo Molchanov:
Universal Deep Research: Bring Your Own Model and Strategy. - Seiji Maekawa, Hayate Iso, Nikita Bhutani:
The Rarity Blind Spot: A Framework for Evaluating Statistical Reasoning in LLMs. - Zachary K. Stine, James E. Deitrick:
The Differential Meaning of Models: A Framework for Analyzing the Structural Consequences of Semantic Modeling Decisions. - Hugo O. Sousa, Ricardo Campos, Alípio Jorge:
The Temporal Game: A New Perspective on Temporal Relation Extraction. - Rimom Costa:
Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents. - Yutong Wang, Cindy Rubio-González:
LLM-Based Program Generation for Triggering Numerical Inconsistencies Across Compilers. - Stefan-Alexandru Jura, Mihai Udrescu, Alexandru Topirceanu:
Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction. - Qishen Sam Liang:
A Systematic Approach to Estimate the Security Posture of a Cyber Infrastructure: A Technical Report. - Maria Parelli, Michael Oechsle, Michael Niemeyer, Federico Tombari, Andreas Geiger:
3D-LATTE: Latent Space 3D Editing from Textual Instructions. - Pan-Yang Su, Yi Ju, Scott J. Moura, Shankar Sastry:
Two-Stage Mechanism Design for Electric Vehicle Charging with Day-Ahead Reservations. - Yishu Li, Xinyi Mao, Ying Yuan, Kyutae Sim, Ben Eisner, David Held:
Learn from What We HAVE: History-Aware VErifier that Reasons about Past Interactions Online. - Boqi Chen, Kua Chen, José Antonio Hernández López, Gunter Mussbacher, Dániel Varró, Amir Feizpour:
SHERPA: A Model-Driven Framework for Large Language Model Execution. - Yuxiang Liu, Tian Wang, Gourab Kundu, Tianyu Cao, Guang Cheng, Zhen Ge, Jianshu Chen, Qingjun Cui, Trishul Chilimbi:
Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval. - Changjae Lee, Zhuoyue Zhao, Jinjun Xiong:
SABER: A SQL-Compatible Semantic Document Processing System Based on Extended Relational Algebra. - Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Yongseok Soh, Jesmin Jahan Tithi, Fabrizio Petrini, Jee W. Choi:
ReLATE: Learning Efficient Sparse Encoding for High-Performance Tensor Decomposition. - Liang Gong, Tommy Wang, Sara Chaker, Yanchen Dong, Fouad Bousetouane, Brenden Morton, Mark Mendez:
Generative AI for Industrial Contour Detection: A Language-Guided Vision System. - Mir Tafseer Nayeem, Davood Rafiei:
OpinioRAG: Towards Generating User-Centric Opinion Highlights from Large-scale Online Reviews. - Rakshitha De Silva, Shiva Raj Pokhrel, Jonathan Kua, Sithamparanathan Kandeepan:
Intelligent Spectrum Management in Satellite Communications. - Brian Wang, Mani Srivastava:
SIGMUS: Semantic Integration for Knowledge Graphs in Multimodal Urban Spaces. - Taihei Sone:
Wage Sentiment Indices Derived from Survey Comments via Large Language Models. - Jinshui Zhang, Stefan M. Goetz:
High-Power Wide-Bandwidth High-Quality Modular Pulse Synthesizer with Adaptive Voltage Asymmetry in Medical Power Electronics. - Aryan Poduri, Yashwant Tailor:
Illuminating Patterns of Divergence: DataDios SmartDiff for Large-Scale Data Difference Analysis. - Sergio A. Esteban, Max H. Cohen, Adrian B. Ghansah, Aaron D. Ames:
A Layered Control Perspective on Legged Locomotion: Embedding Reduced Order Models via Hybrid Zero Dynamics. - Andrés Galindo-Olarte, Zhichao Peng, Jennifer K. Ryan:
Superconvergence Extraction of Upwind Discontinuous Galerkin Method Solving the Radiative Transfer Equation. - Ghadeer Almusaddar, Yicheng Zhang, Saber Ganjisaffar, Barry Williams, Yu David Liu, Dmitry V. Ponomarev, Nael B. Abu-Ghazaleh:
ShadowScope: GPU Monitoring and Validation via Composable Side Channel Signals. - Yuan Gao, Haoming Shi, Weijun Fang:
New Constructions of Optimal (r,δ)-LRCs via Algebraic Function Fields. - Fuheng Zhao, Jiayue Chen, Yiming Pan, Tahseen Rabbani, Divyakant Agrawal, Amr El Abbadi:
Access Paths for Efficient Ordering with Large Language Models. - Ghassen Baklouti, Maxime Zanella, Ismail Ben Ayed:
Language-Aware Information Maximization for Transductive Few-Shot CLIP. - Chen Zheng, Yiyuan Ma, Yuan Yang, Deyi Liu, Jing Liu, Zuquan Song, Yuxin Song, Cheng Ren, Hang Zhu, Xin Liu, Siyuan Qiao, Xun Zhou, Liang Xiang, Yonghui Wu:
Balanced Actor Initialization: Stable RLHF Training of Distillation-Based Reasoning Models. - Yuxuan Ding, Shuangge Wang, Tesca Fitzgerald:
TReF-6: Inferring Task-Relevant Frames from a Single Demonstration for One-Shot Skill Generalization. - Hikmat Ullah Khan, Syed Farhan Alam Zaidi, Pir Masoom Shah, Kiruthika Balakrishnan, Rabia Khan, Muhammad Waqas, Jia Wu:
MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification. - Ezra Erives, Bowen Jing, Peter Holderrieth, Tommi S. Jaakkola:
Continuously Tempered Diffusion Samplers. - Fulvio Mastrogiovanni, Antony Thomas:
A Framework for Task and Motion Planning based on Expanding AND/OR Graphs. - Tianyu Song, Ton Viet Ta:
Towards High-Fidelity and Controllable Bioacoustic Generation via Enhanced Diffusion Learning. - Chikit Ng, Huxin Gao, Tian-Ao Ren, Jiewen Lai, Hongliang Ren:
Contact-Aided Navigation of Flexible Robotic Endoscope Using Deep Reinforcement Learning in Dynamic Stomach. - Hao Zhang, Mengsi Lyu, Chenrui He, Yulong Ao, Yonghua Lin:
TrimTokenator: Towards Adaptive Visual Token Pruning for Large Multimodal Models. - Rinku Dewri:
GIER: Gap-Driven Self-Refinement for Large Language Models. - Renat Sergazinov, Shao-An Yin:
Chunked TabPFN: Exact Training-Free In-Context Learning for Long-Context Tabular Data. - Bear Häon, Kaylene C. Stocking, Ian Chuang, Claire J. Tomlin:
Mechanistic interpretability for steering vision-language-action models. - Yu Tian, Chi Kit Ng, Hongliang Ren:
Jacobian Exploratory Dual-Phase Reinforcement Learning for Dynamic Endoluminal Navigation of Deformable Continuum Robots. - Wei Ao, Vishnu Naresh Boddeti:
CryptoFace: End-to-End Encrypted Face Recognition. - Rahul Raja, Arpita Vats:
Counterfactual Risk Minimization with IPS-Weighted BPR and Self-Normalized Evaluation in Recommender Systems. - An B. Vuong, Michael T. McCann, Javier E. Santos, Yen Ting Lin:
Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching. - Lorenzo Zino, Mattia Boggio, Deborah Volpe, Giacomo Orlandi, Giovanna Turvani, Carlo Novara:
A Quantum-Compliant Formulation for Network Epidemic Control. - Mikael Henaff, Scott Fujimoto, Michael Matthews, Michael Rabbat:
Scalable Option Learning in High-Throughput Environments. - Md. Taherul Islam Shawon, Yuan Li, Yincai Cai, Junjie Niu, Ting Peng:
Autonomous Aggregate Sorting in Construction and Mining via Computer Vision-Aided Robotic Arm Systems. - Abdullah Zayat, Omran Abbas, Loïc Markley, Anas Chaaban:
Deep Complex-valued Neural-Network Modeling and Optimization of Stacked Intelligent Surfaces. - Thinh Viet Le, Mark M. Wilde, Vassilis Kekatos:
Solving Optimal Power Flow using a Variational Quantum Approach. - Ming Ying, Xiaoming Chen, Qiao Qi, Zhaoyang Zhang:
QoS-Driven Satellite Constellation Design for LEO Satellite Internet of Things. - Xunpeng Yi, Yibing Zhang, Xinyu Xiang, Qinglong Yan, Han Xu, Jiayi Ma:
LUT-Fuse: Towards Extremely Fast Infrared and Visible Image Fusion via Distillation to Learnable Look-Up Tables. - Hanping Zhang, Yuhong Guo:
LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning. - Shixiao Liang, Wang Chen, Keke Long, Peng Zhang, Xiaopeng Li, Jintao Ke:
Theory Foundation of Physics-Enhanced Residual Learning. - Marzi Heidari, Yuhong Guo:
Target-Oriented Single Domain Generalization. - Yuqing Wei, Yupeng Wang, Jiayi Zhao, Yanjun Liu, Huxin Gao, Jiewen Lai:
Unlocking Mixed Reality for Medical Education: A See-Through Perspective on Head Anatomy. - Koushik Ahmed Kushal, Abdullah Al Mamun:
AQFusionNet: Multimodal Deep Learning for Air Quality Index Prediction with Imagery and Sensor Data. - Fangyuan Sun, Ruisheng Diao, Ruiyuan Zeng, Jing Zhang, Jianguo Qian:
A Novel Decoupled LVRT Control Strategy for Transient Voltage Stability Enhancement of IBRs Using Voltage-Angle Coupling Analysis. - Jin Ye, Fengchao Xiong, Jun Zhou, Yuntao Qian:
Iterative Low-rank Network for Hyperspectral Image Denoising. - Zhen Chen, Xingjian Luo, Kun Yuan, Jinlin Wu, Danny T. M. Chan, Nassir Navab, Hongbin Liu, Zhen Lei, Jiebo Luo:
SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding. - Shaan Nagy, Timothy Zhou, Nadia Polikarpova, Loris D'Antoni:
ChopChop: a Programmable Framework for Semantically Constraining the Output of Language Models. - Chuye Zhang, Xiaoxiong Zhang, Wei Pan, Linfang Zheng, Wei Zhang:
Generative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-Top Manipulation. - Hyungu Lee, Taehyeong Kim, Hayoung Choi:
Optimized Weight Initialization on the Stiefel Manifold for Deep ReLU Neural Networks. - Zhenxin Li, Shuibing He, Jiahao Guo, Xuechen Zhang, Xian-He Sun, Gang Chen:
CRouting: Reducing Expensive Distance Calls in Graph-Based Approximate Nearest Neighbor Search. - Ziyi Guan, Jason Chun Lok Li, Zhijian Hou, Pingping Zhang, Donglai Xu, Yuzhi Zhao, Mengyang Wu, Jinpeng Chen, Thanh-Toan Nguyen, Pengfei Xian, Wenao Ma, Shengchao Qin, Graziano Chesi, Ngai Wong:
KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation. - Numan Saeed, Salma Hassan, Shahad Hardan, Ahmed Aly, Darya Taratynova, Umair Nawaz, Ufaq Khan, Muhammad Ridzuan, Vincent Andrearczyk, Adrien Depeursinge, Yutong Xie, Thomas Eugene, Raphaël Metz, Mélanie Dore, Gregory Delpon, Vijay Ram Papineni, Kareem A. Wahid, Cem Dede, Alaa Mohamed Shawky Ali, Carlos Sjogreen, Mohamed A. Naser, Clifton D. Fuller, Valentin Oreiller, Mario Jreige, John O. Prior, Catherine Cheze Le Rest, Olena Tankyevych, Pierre Decazes, Su Ruan, Stephanie Tanadini-Lang, Martin Vallières, Hesham Elhalawani, Ronan Abgral, Romain Floch, Kevin Kerleguer, Ulrike Schick, Maelle Mauguen, David Bourhis, Jean-Christophe Leclere, Amandine Sambourg, Arman Rahmim, Mathieu Hatt, Mohammad Yaqub:
A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction. - Guangzong Si, Hao Yin, Xianfei Li, Qing Ding, Wenlong Liao, Tao He, Pai Peng:
Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs. - Sihao Wu, Gaojie Jin, Wei Huang, Jianhong Wang, Xiaowei Huang:
Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Models. - Mengke Li, Lihao Chen, Peng Zhang, Yiu-ming Cheung, Hui Huang:
Adaptive Point-Prompt Tuning: Fine-Tuning Heterogeneous Foundation Models for 3D Point Cloud Analysis. - Ziyi Xia, Kun Luo, Hongjin Qian, Zheng Liu:
Open Data Synthesis For Deep Research. - Shumpei Takezaki, Ryoma Bise, Shinnosuke Matsuo:
NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models. - Jialiang Kang, Jiawen Wang, Dingsheng Luo:
Domain Adaptation-Based Crossmodal Knowledge Distillation for 3D Semantic Segmentation. - Runtong Wu, Jiayao Song, Fei Teng, Xianhao Ren, Yuyan Gao, Kailun Yang:
Visually Grounded Narratives: Reducing Cognitive Burden in Researcher-Participant Interaction. - Dibyayan Chakraborty, Florent Foucaud, Anni Hakanen:
Distance-based (and path-based) covering problems for graphs of given cyclomatic number. - Joohyun Chang, Soyeon Hong, Hyogun Lee, Seong Jong Ha, Dongho Lee, Seong Tae Kim, Jinwoo Choi:
HERO-VQL: Hierarchical, Egocentric and Robust Visual Query Localization. - Jinluan Yang, Ruihao Zhang, Zhengyu Chen, Fei Wu, Kun Kuang:
Unifying Adversarial Perturbation for Graph Neural Networks. - Xuelin Li, Xiangqi Jin, Linfeng Zhang:
GraphKV: Breaking the Static Selection Paradigm with Graph-Based KV Cache Eviction. - Xiaoxin Ye, Chengkai Huang, Hongtao Huang, Lina Yao:
Beyond Negative Transfer: Disentangled Preference-Guided Diffusion for Cross-Domain Sequential Recommendation. - Yuting Tan, Xuying Li, Zhuo Li, Huizhen Shu, Peikang Hu:
The Resurgence of GCG Adversarial Attacks on Large Language Models. - Mengxiao Geng, Ran Hong, Bingxuan Li, Qiegen Liu:
Double-Constraint Diffusion Model with Nuclear Regularization for Ultra-low-dose PET Reconstruction. - Ryosuke Seshimo, Mariko Isogawa:
DAOVI: Distortion-Aware Omnidirectional Video Inpainting. - Murayyiam Parvez, Annus Zulfiqar, Roman Beltiukov, Shir Landau Feibish, Walter Willinger, Arpit Gupta, Muhammad Shahbaz:
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate. - Cheonsu Jeong, Seunghyun Lee, Sunny Jeong, Sungsu Kim:
A Study on the Framework for Evaluating the Ethics and Trustworthiness of Generative AI. - Minku Kang, Hogun Park:
Curriculum Guided Personalized Subgraph Federated Learning. - Yushuo Chen, Ruizhi Shao, Youxin Pang, Hongwen Zhang, Xinyi Wu, Rihui Wu, Yebin Liu:
DevilSight: Augmenting Monocular Human Avatar Reconstruction through a Virtual Perspective. - Hengjie Cao, Mengyi Chen, Yifeng Yang, Ruijun Huang, Fang Dong, Jixian Zhou, Anrui Chen, Mingzhi Dong, Yujiang Wang, Jinlong Hou, Yuan Cheng, Fan Wu, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Metis: Training LLMs with FP4 Quantization. - Xihao Yuan, Siqi Liu, Yan Chen, Hang Zhou, Chang Liu, Hanting Chen, Jie Hu:
SaD: A Scenario-Aware Discriminator for Speech Enhancement. - Ahmed H. Mahmoud, Jonathan Ragan-Kelley, Justin Solomon:
Locality-Aware Automatic Differentiation on the GPU for Mesh-Based Computations. - Juraj Vladika, Florian Matthes:
MedSEBA: Synthesizing Evidence-Based Answers Grounded in Evolving Medical Literature. - Rahul Meshram, Kesav Kaza:
Lagrangian Relaxation for Multi-Action Partially Observable Restless Bandits: Heuristic Policies and Indexability. - Lianyu Hu, Fanhua Shang, Wei Feng, Liang Wang:
LightVLM: Acceleraing Large Multimodal Models with Pyramid Token Merging and KV Cache Compression. - Maxime Meyer, Mario Michelessa, Caroline Chaux, Vincent Y. F. Tan:
Memory Limitations of Prompt Tuning in Transformers. - Fenghua Liu, Yulong Chen, Yixuan Liu, Zhujun Jin, Solomon Tsai, Ming Zhong:
The Gold Medals in an Empty Room: Diagnosing Metalinguistic Reasoning in LLMs with Camlang. - Xuechao Zou, Shun Zhang, Xing Fu, Yue Li, Kai Li, Yushe Cao, Congyan Lang, Pin Tao, Junliang Xing:
Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation. - Houshu He, Naifeng Jing, Li Jiang, Xiaoyao Liang, Zhuoran Song:
AGS: Accelerating 3D Gaussian Splatting SLAM via CODEC-Assisted Frame Covisibility Detection. - Hamideh Haghiri, Rajesh Baidya, Stefan Dvoretskii, Klaus H. Maier-Hein, Marco Nolden:
A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge. - Hau Chan, Jianan Lin, Chenhao Wang:
Strategyproof Mechanisms for Facility Location with Prediction Under the Maximum Cost Objective. - Ibrahim Al Hazwani, Ke Er Amy Zhang, Laura A. Garrison, Jürgen Bernard:
Data Humanism Decoded: A Characterization of its Principles to Bridge Data Visualization Researchers and Practitioners. - Lubin Gan, Xiaoman Wu, Jing Zhang, Zhifeng Wang, Linhao Qu, Siying Wu, Xiaoyan Sun:
SemaMIL: Semantic-Aware Multiple Instance Learning with Retrieval-Guided State Space Modeling for Whole Slide Images. - Yen-Che Chien, Kuang-Da Wang, Wei-Yao Wang, Wen-Chih Peng:
NEWSAGENT: Benchmarking Multimodal Agents as Journalists with Real-World Newswriting Tasks. - Morteza Alimi, Niklas Dahlmeier, Tobias Mömke, Philipp Pabst, Laura Vargas Koch:
Approximating Graphic Multi-Path TSP and Graphic Ordered TSP. - Xuecheng Zou, Ke Liu, Bingbing Wang, Huafei Deng, Li Zhang, Yu Tang:
GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework. - Bo Wu, Zhiqi Ai, Jun Jiang, Congcong Zhu, Shugong Xu:
Stage-wise Adaptive Label Distribution for Facial Age Estimation. - Xiang Chen, Renjiu Hu, Jinwei Zhang, Yuxi Zhang, Xinyao Yue, Min Liu, Yaonan Wang, Hang Zhang:
Encoder-Only Image Registration. - Filip Szatkowski, Patryk Bedkowski, Alessio Devoto, Jan Dubinski, Pasquale Minervini, Mikolaj Piórczynski, Simone Scardapane, Bartosz Wójcik:
Universal Properties of Activation Sparsity in Modern Large Language Models. - Salah Eddine Bekhouche, Abdellah Zakaria Sellam, Hichem Telli, Cosimo Distante, Abdenour Hadid:
CVPD at QIAS 2025 Shared Task: An Efficient Encoder-Based Approach for Islamic Inheritance Reasoning. - Beining Xu, Yongming Lu:
TECP: Token-Entropy Conformal Prediction for LLMs. - Jiannan Xu, Gujie Li, Jane Yi Jiang:
AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights. - Jiading Fang:
Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning. - Negar Hashemi, Amjed Tahir, Shawn Rasheed, August Shi, Rachel Blagojevic:
JS-TOD: Detecting Order-Dependent Flaky Tests in Jest. - Guozhen Li, Xiaoyue Li, Xuerong Mao:
Development of numerical methods for nonlinear hybrid stochastic functional differential equations with infinite delay. - Omar Khalid Ali Mohamed:
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models. - Xinkui Zhao, Rengrong Xiong, Guanjie Cheng, Xinhao Jin, Shawn Shi, Xiubo Liang, Gongsheng Yuan, Xiaoye Miao, Jianwei Yin, Shuiguang Deng:
BPI: A Novel Efficient and Reliable Search Structure for Hybrid Storage Blockchain. - Anton Wolter, Georgios Vidalakis, Michael Yu, Ankit Grover, Vaishali Dhanoa:
Multi-Agent Data Visualization and Narrative Generation. - Saksorn Ruangtanusak, Pittawat Taveekitworachai, Kunat Pipatanakul:
Talk Less, Call Right: Enhancing Role-Play LLM Agents with Automatic Prompt Optimization and Role Prompting. - Juwu Li:
Exploring Decision-Making Capabilities of LLM Agents: An Experimental Study on Jump-Jump Game. - Zhihong Zhang, Xiaojian Huang, Jin Xu, Zhuodong Luo, Xinzhi Wang, Jiansheng Wei, Xuejin Chen:
VideoRewardBench: Comprehensive Evaluation of Multimodal Reward Models for Video Understanding. - Aditya Kasliwal, Franziska Boenisch, Adam Dziedzic:
Localizing and Mitigating Memorization in Image Autoregressive Models. - Fangyuan Sun, Ruisheng Diao, Ruiyuan Zeng, Junjie Li, Wangqianyun Tang:
Improved PLL Design for Transient Stability Enhancement of Grid Following Converters Based on Lyapunov Method. - Zhongmiao Qi, Yan Jiang, Bolin Zhang, Lijun Guo, Chong Wang, Qiangbo Qian:
Multi-Focused Video Group Activities Hashing. - Masaki Saito, Shunki Itadera, Toshiyuki Murakami:
Extended Diffeomorphism for Real-Time Motion Replication in Workspaces with Different Spatial Arrangements. - Zhengbo Zhou:
A Mixed Precision Eigensolver Based on the Jacobi Algorithm. - Li S. Yifei, Allen Chang, Chaitanya Malaviya, Mark Yatskar:
ResearchQA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics. - Yiyang Chen, Zhigang Wu, Guohong Zheng, Xuesong Wu, Liwen Xu, Haoyuan Tang, Zhaocheng He, Haipeng Zeng:
FLUID: A Fine-Grained Lightweight Urban Signalized-Intersection Dataset of Dense Conflict Trajectories. - Dongwon Son, Hojin Jung, Beomjoon Kim:
NeuralSVCD for Efficient Swept Volume Collision Detection. - Yizhi Chen, Jingwei Li, Wenyao Zhu, Zhonghai Lu:
Bit Transition Reduction by Data Transmission Ordering in NoC-based DNN Accelerator. - Jialong Zuo, Guangyan Zhang, Minghui Fang, Shengpeng Ji, Xiaoqi Jiao, Jingyu Li, Yiwen Guo, Zhou Zhao:
Entropy-based Coarse and Compressed Semantic Speech Representation Learning. - Hiroki Ishizaka:
On discrete Sobolev inequalities for nonconforming finite elements under a semi-regular mesh condition. - Guy Avni, Suman Sadhukhan:
Mean-payoff and Energy Discrete Bidding Games. - Zhang Lai Bin, Zhen Bin It:
Artificial Intelligence-Based Analysis of Ice Cream Melting Behavior Under Various Ingredients. - Nhat-Tuong Do-Tran, Ngoc-Hoang-Lam Le, Ian Chiu, Po-Tsun Paul Kuo, Ching-Chun Huang:
TRUST: Token-dRiven Ultrasound Style Transfer for Cross-Device Adaptation. - Yasser Benigmim, Subhankar Roy, Khalid Oublal, Imad Eddine Marouf, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière:
Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation. - Li Weigang, Pedro Carvalho Brom, Lucas Ramson Siefert:
LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain. - Xinyu Ji, Chengcheng Yan, Jibiao Yuan, Fiefie Zhao:
Graph Convolutional Network With Pattern-Spatial Interactive and Regional Awareness for Traffic Forecasting. - Yuzheng Cai, Yanzhao Zhang, Dingkun Long, Mingxin Li, Pengjun Xie, Weiguo Zheng:
ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking. - Hu Liu, Shuaibin Gao, Junhao Hu:
The adaptive EM schemes for McKean-Vlasov SDEs with common noise in finite and infinite horizons. - Giuliano Guarino, Yannis Voet, Pablo Antolin, Annalisa Buffa:
Stabilization techniques for immersogeometric analysis of plate and shell problems in explicit dynamics. - Gavin Wong, Ping Shu Ho, Ivan Au Yeung, Ka Chun Cheung, Simon See:
Biological Pathway Informed Models with Graph Attention Networks (GATs). - Ruitao Wu, Yifan Zhao, Jia Li:
Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement. - S. Krishna Niketh, Prasanta K. Panigrahi, V. Vignesh, Mayukha Pal:
Game Theoretic Resilience Recommendation Framework for CyberPhysical Microgrids Using Hypergraph MetaLearning. - Eunjung Cho, Alexander Hoyle, Yoan Hermstrüwer:
Modeling Motivated Reasoning in Law: Evaluating Strategic Role Conditioning in LLM Summarization. - Fanxin Wang, Yikun Cheng, Chuyuan Tao, Rohit Bhargava, Thenkurussi Kesavadas:
Needle Biopsy And Fiber-Optic Compatible Robotic Insertion Platform. - Cheng Zhang, Erhu Feng, Xi Zhao, Yisheng Zhao, Wangbo Gong, Jiahui Sun, Dong Du, Zhichao Hua, Yubin Xia, Haibo Chen:
MobiAgent: A Systematic Framework for Customizable Mobile Agents. - David Keith Maslen, Daniel N. Rockmore:
How to Compute a Moving Sum. - Xiangyu Zhang, Mang Ye:
FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning. - Siyi Liu, Weiming Chen, Yushun Tang, Zhihai He:
LatentEdit: Adaptive Latent Control for Consistent Semantic Editing. - Jayakrishna Duggempudi, Lu Gao, Ahmed Senouci, Zhe Han, Yunpeng Zhang:
Text-to-Layout: A Generative Workflow for Drafting Architectural Floor Plans Using LLMs. - Hanqi Yan, Hainiu Xu, Siya Qi, Shu Yang, Yulan He:
When Thinking Backfires: Mechanistic Insights Into Reasoning-Induced Misalignment. - Lu Han, Mengyan Li, Jiping Qiang, Zhi Su:
Advanced spectral clustering for heterogeneous data in credit risk monitoring systems. - Taulant Kerci, Federico Milano:
A Comprehensive Approach to Evaluate Frequency Control Strength of Power Systems. - Peirong Liu, Oula Puonti, Xiaoling Hu, Karthik Gopinath, Annabel Sorby-Adams, Daniel C. Alexander, W. Taylor Kimberly, Juan Eugenio Iglesias:
A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging. - Lu Han, Xiuying Wang:
Integrated Multivariate Segmentation Tree for the Analysis of Heterogeneous Credit Data in Small and Medium-Sized Enterprises. - M. M. Chernyshov, P. N. Vabishchevich:
Numerical solution of 2D boundary value problems on merged Voronoi-Delaunay meshes. - Xuhui Zhou, Jiarui Liu, Akhila Yerukola, Hyunwoo Kim, Maarten Sap:
Social World Models. - Can Cui, Zilong Fu, Penghe Huang, Yuanyuan Li, Wu Deng, Dongyan Li:
An Efficient GNNs-to-KANs Distillation via Self-Attention Dynamic Sampling with Potential for Consumer Electronics Edge Deployment. - Yuwen Pu, Zhou Feng, Chunyi Zhou, Jiahao Chen, Chunqiang Hu, Haibo Hu, Shouling Ji:
FreeTalk:A plug-and-play and black-box defense against speech synthesis attacks. - Philip Lorimer, Jack Saunders, Alan Hunter, Wenbin Li:
Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot. - P. Kumar:
Interference Between FM Cell Sites and CDMA Cell Sites. - Alessandro Leanza, Angelo Moroncelli, Giuseppe Vizzari, Francesco Braghin, Loris Roveda, Blerina Spahiu:
ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph. - Arman Javan Sekhavat Pishkhani:
Gray-Box Computed Torque Control for Differential-Drive Mobile Robot Tracking. - Filip J. Kucia, Bartosz Grabek, Szymon D. Trochimiak, Anna Wróblewska:
How to Make Museums More Interactive? Case Study of Artistic Chatbot. - Philip Lorimer, Alan Hunter, Wenbin Li:
Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot. - Himanshu Verma, Kirtan Padh, Eva Thelisson:
Can AI be Auditable? - Tao Jiang, Tianyuan Yuan, Yicheng Liu, Chenhao Lu, Jianning Cui, Xiao Liu, Shuiqi Cheng, Jiyang Gao, Huazhe Xu, Hang Zhao:
Galaxea Open-World Dataset and G0 Dual-System VLA Model. - Abdellah Zakaria Sellam, Ilyes Benaissa, Salah Eddine Bekhouche, Abdenour Hadid, Vito Renò, Cosimo Distante:
C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Object Detection. - Bo Jiang, Taolue Yang, Youyuan Liu, Chengming Zhang, Xubin He, Sian Jin:
KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache. - Saumya Chaturvedi, Aman Chadha, Laurent Bindschaedler:
SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction. - Rui Bai, Rui Xu, Teng Rui, Jiale Liu, Qi Wei Oung, Hoi Leong Lee, Zhen Tian, Fujiang Yuan:
Safe and Efficient Lane-Changing for Autonomous Vehicles: An Improved Double Quintic Polynomial Approach with Time-to-Collision Evaluation. - Vaibhav Mehta, Justin Hsu:
A Hoare Logic for Symmetry Properties. - Shafayet M. Anik, D. G. Perera:
Real-Time Piano Note Frequency Detection Using FPGA and FFT Core. - Lang Xiong, Nishant Bhargava, Jeremy Chang, Jianhang Hong, Haihao Liu, Vasu Sharma, Kevin Zhu:
Probe-Rewrite-Evaluate: A Workflow for Reliable Benchmarks and Quantifying Evaluation Awareness. - Klervie Toczé, Iffat Fatima, Patricia Lago, Lia van Wesenbeeck:
Supporting a Sustainable and Inclusive Urban Agriculture Federation using Dashboarding. - Boyi Li, Ce Zhang, Richard M. Timmerman, Wenxuan Bao:
DGL-RSIS: Decoupling Global Spatial Context and Local Class Semantics for Training-Free Remote Sensing Image Segmentation. - Shubham Negi, Manik Singhal, Aayush Ankit, Sudeep Bhoja, Kaushik Roy:
COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives. - Salar Nouri, Kaidi Shao, Shervin Safavi:
TranCIT: Transient Causal Interaction Toolbox. - Osama Abu Hamdan, Hao Che, Engin Arslan, Md. Arifuzzaman:
SmartFLow: A Communication-Efficient SDN Framework for Cross-Silo Federated Learning. - Fouad M. Amin, Diab W. Abueidda, Panos Pantidis, Mostafa E. Mobasher:
I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems. - Rishiraj Acharya:
Gated Associative Memory: A Parallel O(N) Architecture for Efficient Sequence Modeling. - Siyu Xiao, Guohui Ren, Tianhao Mao, Yuqiao Chen, YiAn Liu, Junjie Wang, Kai Tang, Xindi Zhao, Zhijian Yu, Shuang Liu, Tupei Chen, Yang Liu:
Realization of Precise Perforating Using Dynamic Threshold and Physical Plausibility Algorithm for Self-Locating Perforating in Oil and Gas Wells. - Shikun Liu, Deyu Zou, Nima Shoghi, Victor Fung, Kai Liu, Pan Li:
RoFt-Mol: Benchmarking Robust Fine-Tuning with Molecular Graph Foundation Models. - Narasimha Raghavan Veeraragavan, Jan Franz Nygård:
Federated Survival Analysis with Node-Level Differential Privacy: Private Kaplan-Meier Curves. - Azul Garza, Reneé Rosillo:
TimeCopilot. - Osama Abu Hamdan, Hao Che, Engin Arslan, Md. Arifuzzaman:
FLEET: A Federated Learning Emulation and Evaluation Testbed for Holistic Research. - Shiqiao Zhou, Holger Schöner, Huanbo Lyu, Edouard Fouché, Shuo Wang:
BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting. - Ali Zain, Sareem Farooqui, Muhammad Rafi:
A Multi-Strategy Approach for AI-Generated Text Detection. - Haochong Chen, Xincheng Cao, Bilin Aksun Güvenç, Levent Guvenç:
Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety. - Jaber Daneshamooz, Eugene Vuong, Laasya Koduru, Sanjay Chandrasekaran, Arpit Gupta:
NetGent: Agent-Based Automation of Network Application Workflows. - Maggie Chen, Hala Lambdouar, Luca Marini, Laura Martínez-Ferrer, Christopher Bridges, Giacomo Acciarini:
Towards Methane Detection Onboard Satellites. - Yuheng Zhang, Miao Qiao, Zhencan Peng, Dong Deng:
Near-Duplicate Text Alignment under Weighted Jaccard Similarity. - Md. Tanzib Hosain, Md. Kishor Morol:
Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? - Giacomo Acciarini, Simone Mestici, Halil Kelebek, Linnea Wolniewicz, Michael Vergalla, Madhulika Guhathakurta, Umaa Rebbapragada, Bala Poduval, Atilim Günes Baydin, Frank Soboczenski:
Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers. - Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed A. Badawy, Ahmad Patooghy:
On the Thermal Vulnerability of 3D-Stacked High-Bandwidth Memory Architectures. - Chaoyu Zhang, Heng Jin, Shanghao Shi, Hexuan Yu, Sydney Johns, Y. Thomas Hou, Wenjing Lou:
Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats. - Mengjie Zhao, Olga Fink:
Disentangling Slow and Fast Temporal Dynamics in Degradation Inference with Hierarchical Differential Models. - Zhipeng Yin, Zichong Wang, Avash Palikhe, Zhen Liu, Jun Liu, Wenbin Zhang:
AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models. - Qizheng Yang, Tung-I Chen, Siyu Zhao, Ramesh K. Sitaraman, Hui Guan:
HADIS: Hybrid Adaptive Diffusion Model Serving for Efficient Text-to-Image Generation. - Zhen Tian, Zhihao Lin, Dezong Zhao, Christos Anagnostopoulos, Qiyuan Wang, Wenjing Zhao, Xiaodan Wang, Chongfeng Wei:
A Risk-aware Spatial-temporal Trajectory Planning Framework for Autonomous Vehicles Using QP-MPC and Dynamic Hazard Fields. - Jun Suzuki, Katsuhiko Sano:
Undecidability of Linear Logics without Weakening. - Gaurangi Raul, Yu-Zheng Lin, Karan Himanshu Patel, Bono Po-Jen Shih, Matthew William Redondo, Banafsheh Saber Latibari, Jesus Pacheco, Soheil Salehi, Pratik Satam:
RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring. - Yu-Zheng Lin, Sujan Ghimire, Abhiram Nandimandalam, Jonah Michael Camacho, Unnati Tripathi, Rony Macwan, Sicong Shao, Setareh Rafatirad, Rozhin Yasaei, Pratik Satam, Soheil Salehi:
LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement. - Kushagra Chandak, Vincent Liu, Haanvid Lee:
Context-Action Embedding Learning for Off-Policy Evaluation in Contextual Bandits. - Aviral Chharia, Wenbo Gou, Haoye Dong:
MV-SSM: Multi-View State Space Modeling for 3D Human Pose Estimation. - Tin Luu, Binh Nguyen, Man Ngo:
Missing Data Imputation using Neural Cellular Automata. - Tung Nguyen, Harkanwar Singh, Nilay Naharas, Lucas Bandarkar, Aditya Grover:
IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India. - Ashwin Nagarajan, Hao-Wen Dong:
The Name-Free Gap: Policy-Aware Stylistic Control in Music Generation. - Oluwatomisin I. Dada, Neil D. Lawrence:
Revisiting Deep AC-OPF. - Yumeng Lin, Dong Li, Xintao Wu, Minglai Shao, Xujiang Zhao, Zhong Chen, Chen Zhao:
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains. - Felipe Arias-Russi, Yuanchen Bai, Angelique Taylor:
CARIS: A Context-Adaptable Robot Interface System for Personalized and Scalable Human-Robot Interaction. - José Manuel Alcalde-Llergo, Aurora Ruiz Mezcua, Rocio Avila-Ramirez, Andrea Zingoni, Juri Taborri, Enrique Yeguas-Bolivar:
Automatic Identification and Description of Jewelry Through Computer Vision and Neural Networks for Translators and Interpreters. - Vamsi Shankar Simhadri, Yichang Xiong, Habiba Farrukh, Xiaokuan Zhang:
Virtual Reality, Real Problems: A Longitudinal Security Analysis of VR Firmware. - Binghang Lu, Changhong Mou, Guang Lin:
An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Operator Learning Network. - Yifei She, Huangxuan Wu:
Fusion to Enhance: Fusion Visual Encoder to Enhance Multimodal Language Model. - Weilong Yan, Xin Zhang, Robby T. Tan:
ER-LoRA: Effective-Rank Guided Adaptation for Weather-Generalized Depth Estimation. - Hwi Lee, Yingjie Liu:
A level-set based finite difference method for the ground state Bose-Einstein condensates in smooth bounded domains. - Sanjeeevan Selvaganapathy, Mehwish Nasim:
Confident, Calibrated, or Complicit: Probing the Trade-offs between Safety Alignment and Ideological Bias in Language Models in Detecting Hate Speech. - Lingkai Meng, Long Yuan, Xuemin Lin, Wenjie Zhang, Ying Zhang:
Triangle Counting in Hypergraph Streams: A Complete and Practical Approach. - Xiyao Wang, Chunyuan Li, Jianwei Yang, Kai Zhang, Bo Liu, Tianyi Xiong, Furong Huang:
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model. - Qingyu Wang, Xue Jiang, Guozheng Xu:
CSFMamba: Cross State Fusion Mamba Operator for Multimodal Remote Sensing Image Classification. - Qintong Xie, Edward Koh, Xavier Cadet, Peter Chin:
Nash Q-Network for Multi-Agent Cybersecurity Simulation. - Junfeng Ran, Guangxiang Zhao, Yuhan Wu, Dawei Zhu, Longyun Wu, Yikai Zhao, Tong Yang, Lin Sun, Xiangzheng Zhang, Sujian Li:
Router Upcycling: Leveraging Mixture-of-Routers in Mixture-of-Experts Upcycling. - Austin McCutcheon, Chris Brogly:
Do small language models generate realistic variable-quality fake news headlines? - Zihao Zheng, Zeyu Xie, Xuenan Xu, Wen Wu, Chao Zhang, Mengyue Wu:
PicoAudio2: Temporal Controllable Text-to-Audio Generation with Natural Language Description. - Amartya Banerjee, Somnath Kar, Anirban Pal, Debabrata Maiti:
Valid Property-Enhanced Contrastive Learning for Targeted Optimization & Resampling for Novel Drug Design. - Chen Su, Yuanhe Tian, Yan Song, Yongdong Zhang:
Text Reinforcement for Multimodal Time Series Forecasting. - Alex Gulko, Yusen Peng, Sachin Kumar:
CE-Bench: Towards a Reliable Contrastive Evaluation Benchmark of Interpretability of Sparse Autoencoders. - Yusen Peng, Alper Yilmaz:
CascadeFormer: A Family of Two-stage Cascading Transformers for Skeleton-based Human Action Recognition. - Arun Vignesh Malarkkan, Haoyue Bai, Anjali Kaushik, Yanjie Fu:
DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming. - Akriti Verma, Shama Naz Islam, Valeh Moghaddam, Adnan Anwar:
Queuing for Civility: Regulating Emotions and Reducing Toxicity in Digital Discourse. - Kaiwen Wei, Jinpeng Gao, Jiang Zhong, Yuming Yang, Fengmao Lv, Zhenyang Li:
Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMs. - Yumeng He, Chandrakana Nandi, Sreepathi Pai:
Formalizing Linear Motion G-code for Invariant Checking and Differential Testing of Fabrication Tools. - Raehyuk Jung, Seungjun Yu, Hyunjung Shim:
Prompt the Unseen: Evaluating Visual-Language Alignment Beyond Supervision. - Kun Qiu, Ying Wang, Baoqian Li, Wenjun Zhu:
Unsupervised Dataset Cleaning Framework for Encrypted Traffic Classification. - Osama Ahmad, Lukas Wesemann, Fabian Waschkowski, Zubair Khalid:
Robust Spatiotemporal Forecasting Using Adaptive Deep-Unfolded Variational Mode Decomposition. - Renfei Zhang, Mohit Pandey, Artem Cherkasov, Martin Ester:
Why Pool When You Can Flow? Active Learning with GFlowNets. - Yukun Zhu, ManYuan Hua, Hai Huang, YongZhao Zhang, Jie Yang, FengHua Xu, RuiDong Chen, XiaoSong Zhang, JiGuo Yu, Yong Ma:
X-PRINT:Platform-Agnostic and Scalable Fine-Grained Encrypted Traffic Fingerprinting. - Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo:
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs. - Jingyi Guan, Kun Qiu, Jin Zhao:
ReWeave: Traffic Engineering with Robust Path Weaving for Localized Link Failure Recover. - Elias Ra, Seung Je Kim, Eui-Yeong Seo, Geunju So:
Designing LMS and Instructional Strategies for Integrating Generative-Conversational AI. - Albert Sadowski, Jaroslaw A. Chudziak:
On Verifiable Legal Reasoning: A Multi-Agent Framework with Formalized Knowledge Representations. - Yuwen Cao, Xiaowen Wu, Jiguang He, Tomoaki Ohtsuki, Tony Q. S. Quek:
Coverage and Rate Performance Analysis of Multi-RIS-Assisted Dual-Hop mmWave Networks. - Ananda Prakash Verma:
Exam Readiness Index (ERI): A Theoretical Framework for a Composite, Explainable Index. - Uriel Feige, Ilia Pauzner:
Large cliques and large independent sets: can they coexist? - Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Chao Sun, Rongzhou Zhang, Guanyu Zhou, Lijie Wen, Xuming Hu:
OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination. - Pengyue Li, Sheng Wang, Hua Dai, Zhiyu Chen, Zhifeng Bao, Brian D. Davison:
A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives. - Houji Jin, Negin Ashrafi, Armin Abdollahi, Wei Liu, Jian Wang, Ganyu Gui, Maryam Pishgar, Huanghao Feng:
LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA. - Jingtao Liu, Xinming Zhang:
Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning. - Govind Waghmare, Sumedh B. G, Sonia Gupta, Srikanta Bedathur:
Efficient Graph Understanding with LLMs via Structured Context Injection. - Yi Liu, Keyu Fan, Bin Lan, Houde Liu:
DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments. - Kuniko Paxton, Koorosh Aslansefat, Dhavalkumar Thakker, Yiannis Papadopoulos, Tanaya Maslekar:
Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning. - Sangyu Han, Yearim Kim, Nojun Kwak:
Causal Interpretation of Sparse Autoencoder Features in Vision. - Dinh-Khoi Vo, Van-Loc Nguyen, Minh-Triet Tran, Trung-Nghia Le:
EVENT-Retriever: Event-Aware Multimodal Image Retrieval for Realistic Captions. - Y. Hop Nguyen, Doan Anh Phan Huu, Trung Thai Tran, Nhat Nam Mai, Van Toi Giap, Thao Thi Phuong Dao, Trung-Nghia Le:
Multi-Level CLS Token Fusion for Contrastive Learning in Endoscopy Image Classification. - Qiying Hu, Yingying Liang, Qianli Zhou, Witold Pedrycz:
Attribute Fusion-based Classifier on Framework of Belief Structure. - Xiufeng Huang, Ziyuan Luo, Qi Song, Ruofei Wang, Renjie Wan:
MarkSplatter: Generalizable Watermarking for 3D Gaussian Splatting Model via Splatter Image Structure. - Bin Yang, Yulin Zhang, Hong-Yu Zhou, Sibei Yang:
No More Sibling Rivalry: Debiasing Human-Object Interaction Detection. - Ziqi Wang, Boqin Yuan:
L-MARS: Legal Multi-Agent Workflow with Orchestrated Reasoning and Agentic Search. - Pragun Jaswal, L. Hemanth Krishna, B. Srinivasu:
Low Power Approximate Multiplier Architecture for Deep Neural Networks. - Zhichao Yan, Jiaoyan Chen, Jiapu Wang, Xiaoli Li, Ru Li, Jeff Z. Pan:
Decomposing and Revising What Language Models Generate. - Yangsong Zhang, Abdul Ahad Butt, Gül Varol, Ivan Laptev:
InterPose: Learning to Generate Human-Object Interactions from Large-Scale Web Videos. - Lee Hyun, Sohee Yoon, Jinwoo Park, Sue In Chae, Seongeon Park, Jooyeon Ahn, Yebin Jung, Youjung Chung, Hogeun Chang, Sujin Park, Myeonginn Kang, Jina Kim, Ho-Gyeong Kim, Myeonghun Jeong:
Aligning Reasoning LLMs for Materials Discovery with Physics-aware Rejection Sampling. - Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar:
Bayesian and Multi-Objective Decision Support for Real-Time Cyber-Physical Incident Mitigation. - Arman Gupta, Govind Waghmare, Gaurav Oberoi, Nitish Srivastava:
Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs. - Xiaokang Wei, Zizheng Yan, Zhangyang Xiong, Yiming Hao, Yipeng Qin, Xiaoguang Han:
IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects. - Pragun Jaswal, L. Hemanth Krishna, B. Srinivasu:
Energy Efficient Exact and Approximate Systolic Array Architecture for Matrix Multiplication. - Yiluo Wei, Jiahui He, Gareth Tyson:
Understanding Fanchuan in Livestreaming Platforms: A New Form of Online Antisocial Behavior. - Haomiao Tang, Wenjie Li, Yixiang Qiu, Genping Wang, Shu-Tao Xia:
Secure and Scalable Face Retrieval via Cancelable Product Quantization. - Weizhe Shi, Qiqi Wang, Yihong Pan, Qian Liu, Kaiqi Zhao:
LegalChainReasoner: A Legal Chain-guided Framework for Criminal Judicial Opinion Generation. - Elena Masserini, Daniela Micucci, Leonardo Mariani:
Bug Whispering: Towards Audio Bug Reporting. - Zeyu Li, Annan Shu:
Aligned Anchor Groups Guided Line Segment Detector. - Ganxi Xu, Jinyi Long, Jia Zhang:
Image-to-Brain Signal Generation for Visual Prosthesis with CLIP Guided Multimodal Diffusion Models. - Pei Liu, Qingtian Ning, Xinyan Lu, Haipeng Liu, Weiliang Ma, Dangen She, Peng Jia, Xianpeng Lang, Jun Ma:
OmniReason: A Temporal-Guided Vision-Language-Action Framework for Autonomous Driving. - Shuai Ma, Guangwu Liu, Li Xia:
Sharpe Ratio Optimization in Markov Decision Processes. - R. N. Köhle, K. T. W. Menting, K. Mitra, J. H. M. ten Thije Boonkkamp:
Robust and fast iterative method for the elliptic Monge-Ampère equation. - Jakob De Moor, Hans Weytjens, Johannes De Smedt:
ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods. - Changin Choi, Wonseok Lee, Jungmin Ko, Wonjong Rhee:
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering. - Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng:
Fairness in Federated Learning: Trends, Challenges, and Opportunities. - Zhuodong Jiang, Haoran Wang, Guoxi Huang, Brett Seymour, Nantheera Anantrasirichai:
SWAGSplatting: Semantic-guided Water-scene Augmented Gaussian Splatting. - Hyungbo Shim, Jin Gyu Lee, Brian D. O. Anderson:
Adaptation of Parameters in Heterogeneous Multi-agent Systems. - Feriel Amel Sellal, Ahmed Ayoub Bellachia, Meryem Malak Dif, Enguerrand De Rautlin De La Roy, Mouhamed Amine Bouchiha, Yacine Ghamri-Doudane:
XAI-Driven Machine Learning System for Driving Style Recognition and Personalized Recommendations. - Wei Guo, Zhichao Peng:
An Inexact Low-Rank Source Iteration for Steady-State Radiative Transfer Equation with Diffusion Synthetic Acceleration. - Reem Abdel-Salam, Mary Adewunmi, Modinat Abayomi:
CaresAI at BioCreative IX Track 1 - LLM for Biomedical QA. - Yang Chen, Sanglin Zhao, Baoyu Chen, Mans Gustaf:
Adaptive Contrast Adjustment Module: A Clinically-Inspired Plug-and-Play Approach for Enhanced Fetal Plane Classification. - Samuel Punch, Krishnendu Guha:
MAESTROCUT: Dynamic, Noise-Adaptive, and Secure Quantum Circuit Cutting on Near-Term Hardware. - Samuel Punch, Krishnendu Guha:
Adaptive t Design Dummy-Gate Obfuscation for Cryogenic Scale Enforcement. - Gyehun Go, Satbyul Han, Ahyeon Choi, Eunjin Choi, Juhan Nam, Jeong Mi Park:
AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation. - Zhenhua Xu, Zhaokun Yan, Binhan Xu, Xin Tong, Haitao Xu, Yourong Chen, Meng Han:
Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models. - Felix Engl, Andreas Henrich:
TMT: A Simple Way to Translate Topic Models Using Dictionaries. - Takumu Okazaki, Akira Terui, Masahiko Mikawa:
Inverse Kinematics for a 6-Degree-of-Freedom Robot Manipulator Using Comprehensive Gröbner Systems. - Xinlei Liu, Tao Hu, Peng Yi, Weitao Han, Jichao Xie, Baolin Li:
Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization. - Jongwook Si, Sungyoung Kim:
Surface Defect Detection with Gabor Filter Using Reconstruction-Based Blurring U-Net-ViT. - Takumu Okazaki, Akira Terui, Masahiko Mikawa:
An Effective Trajectory Planning and an Optimized Path Planning for a 6-Degree-of-Freedom Robot Manipulator. - Zhijing Wu, Longguang Wang:
UPGS: Unified Pose-aware Gaussian Splatting for Dynamic Scene Deblurring. - Emmanuel Jehanno, Romain Menegaux, Julien Mairal, Sergei Grudinin:
Challenges in Non-Polymeric Crystal Structure Prediction: Why a Geometric, Permutation-Invariant Loss is Needed. - Sicheng Yang, Hongqiu Wang, Zhaohu Xing, Sixiang Chen, Lei Zhu:
SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3. - Axel Mezini, Elena Umili, Ivan Donadello, Fabrizio Maria Maggi, Matteo Mancanelli, Fabio Patrizi:
Neuro-Symbolic Predictive Process Monitoring. - Jongwook Si, Sungyoung Kim:
Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss. - Yulin Li, Tetsuro Miyazaki, Kenji Kawashima:
One-Step Model Predictive Path Integral for Manipulator Motion Planning Using Configuration Space Distance Fields. - Attila Egri-Nagy, Chrystopher L. Nehaniv:
Computational Exploration of Finite Semigroupoids. - Yuli Zhang, Pengfei Fan, Ruiyuan Jiang, Hankang Gu, Dongyao Jia, Xinheng Wang:
Adaptive Vehicle Speed Classification via BMCNN with Reinforcement Learning-Enhanced Acoustic Processing. - Zheng Zhang, Kang Wu, Yi-Fei Li, Xu Liu, Xiang Wang, Ligang Liu, Xiao-Ming Fu:
Outer Contour-driven Ruled Surface Generation for Linear Hot-wire Rough Machining. - Michelle Elizabeth, Alicja Kasicka, Natalia Krawczyk, Magalie Ochs, Gwénolé Lecorvé, Justyna Gromada, Lina Maria Rojas-Barahona:
Neural Models and Language Model Prompting for the Multidimensional Evaluation of Open-Ended Conversations. - Tengyu Pan, Zhichao Duan, Zhenyu Li, Bowen Dong, Ning Liu, Xiuxing Li, Jianyong Wang:
Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings. - Xueyang Kang, Zhengkang Xiang, Zezheng Zhang, Kourosh Khoshelham:
Look Beyond: Two-Stage Scene View Generation via Panorama and Video Diffusion. - Woon Yee Ng, Li Rong Wang, Siyuan Liu, Xiuyi Fan:
Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery. - Dimitri Breda, Simone De Reggi, Jordi Ripoll:
On the numerical computation of R0 in periodic environments. - Shaina Raza, Maximus Powers, Partha Pratim Saha, Mahveen Raza, Rizwan Qureshi:
Prompting Away Stereotypes? Evaluating Bias in Text-to-Image Models for Occupations. - Yvonne Rogers:
Why it is worth making an effort with GenAI. - Jiacheng Jiang, Yuan Meng, Chen Tang, Han Yu, Qun Li, Zhi Wang, Wenwu Zhu:
Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective. - Yuriy Izotov, Andrei Velichko:
Speech Command Recognition Using LogNNet Reservoir Computing for Embedded Systems. - Xinzhe Zheng, Zhen-Qun Yang, Jiannong Cao, Jiabei Cheng:
Predicting Multi-Type Talented Students in Secondary School Using Semi-Supervised Machine Learning. - Yongkang Su, Sei Zhen Khong, Lanlan Su:
Passivity Compensation: A Distributed Approach for Consensus Analysis in Heterogeneous Networks. - Yong Su, Yiyi Chen, Shenghong Yi, Hui Feng, Yuedong Xu, Wang Xiang, Bo Hu:
A Modular and Scalable Simulator for Connected-UAVs Communication in 5G Networks. - Zixuan Shangguan, Yanjie Dong, Lanjun Wang, Xiaoyi Fan, Victor C. M. Leung, Xiping Hu:
Exploring and Mitigating Fawning Hallucinations in Large Language Models. - Ruohan Huang, Zining Cao:
Controller synthesis method for multi-agent system based on temporal logic specification. - Zirui Zhou, Zizhao Peng, Dongyang Jin, Chao Fan, Fengwei An, Shiqi Yu:
Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening. - Wei Zhang, Brian Barr, John Paisley:
Tabular Diffusion Counterfactual Explanations. - Yuqin Dai, Guoqing Wang, Yuan Wang, Kairan Dou, Kaichen Zhou, Zhanwei Zhang, Shuo Yang, Fei Tang, Jun Yin, Pengyu Zeng, Zhenzhe Ying, Can Yi, Changhua Meng, Yuchen Zhou, Yongliang Shen, Shuai Lu:
EviNote-RAG: Enhancing RAG Models via Answer-Supportive Evidence Notes. - Xiang Li, Yueci Su, Jiahao Liu, Zhiwei Lin, Yuebing Hou, Peiming Gao, Yuanchao Zhang:
VulSolver: Vulnerability Detection via LLM-Driven Constraint Solving. - Denis Los, Igor Petushkov:
Accelerating Latency-Critical Applications with AI-Powered Semi-Automatic Fine-Grained Parallelization on SMT Processors. - Wei Zhang, Brian Barr, John Paisley:
An Explainable Gaussian Process Auto-encoder for Tabular Data. - Yi-Chia Cheng, Cheng-Shang Chang:
Efficient Multichannel Rendezvous Algorithms without Global Channel Enumeration. - Avi Kadria, Liam Roditty:
New approximate distance oracles and their applications. - Zonghai Yao, Talha Chafekar, Junda Wang, Shuo Han, Feiyun Ouyang, Junhui Qian, Lingxi Li, Hong Yu:
ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care. - Razvan-Alexandru Smadu, Andreea Iuga, Dumitru-Clementin Cercel, Florin Pop:
SeLeRoSa: Sentence-Level Romanian Satire Detection Dataset. - Yaodong Ma, Kai Liu, Lipeng Zhu, Yanming Liu, Yanbo Zhu, Daniel Benevides da Costa:
Movable Antenna-Enhanced Secure Communication: Opportunities, Challenges, and Solutions. - Maryam Mahdi Al-Husseini, Mohammad-Reza Feizi-Derakhshi:
AI-Enhanced Intelligent NIDS Framework: Leveraging Metaheuristic Optimization for Robust Attack Detection and Prevention. - Yaodong Ma, Kai Liu, Yanming Liu, Lipeng Zhu:
Movable Antenna Empowered Secure Near-Field MIMO Communications. - Yutong Gao, Maoyuan Shao, Xinyang Huang, Chuang Zhu, Lijuan Sun, Yu Weng, Xuan Liu, Guoshun Nan:
Spotlighter: Revisiting Prompt Tuning from a Representative Mining View. - Sabine Wehnert, Harikrishnan Changaramkulath, Ernesto William De Luca:
HiPS: Hierarchical PDF Segmentation of Textbooks. - Joongho Jo, Jongsun Park:
GS-TG: 3D Gaussian Splatting Accelerator with Tile Grouping for Reducing Redundant Sorting while Preserving Rasterization Efficiency. - Hainan Wang, Mehdi Hosseinzadeh, Reza Rawassizadeh:
TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization. - Youngjin Oh, Junhyeong Kwon, Junyoung Park, Nam Ik Cho:
DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising. - Xubin Yue, Zhenhua Xu, Wenpeng Xing, Jiahui Yu, Mohan Li, Meng Han:
PREE: Towards Harmless and Adaptive Fingerprint Editing in Large Language Models via Knowledge Prefix Enhancement. - David Dukic, Goran Glavas, Jan Snajder:
Supervised In-Context Fine-Tuning for Generative Sequence Labeling. - Zakaria El Jaafari:
Robust Deep Monte Carlo Counterfactual Regret Minimization: Addressing Theoretical Risks in Neural Fictitious Self-Play. - Aman Sharma, Saeed Najafi, Parsa Farinneya, Benyamin Jamialahmadi, Marzieh S. Tahaei, Yuhe Fan, Mehdi Rezagholizadeh, Boxing Chen, Aref Jafari:
DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers. - Lukas Pertl, Han Xuanyuan, Pietro Liò:
Superposition in Graph Neural Networks. - Yanxiao Zhao, Yaqian Li, Zihao Bo, Rinyoichi Takezoe, Haojia Hui, Mo Guang, Lei Ren, Xiaolin Qin, Kaiwen Long:
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs. - Andrei Draganescu, L. Ridgway Scott:
Sufficient conditions for strong discrete maximum principles in finite element solutions of linear and semilinear elliptic equations. - Md. Shahidul Salim, Lian Fu, Arav Adikesh Ramakrishnan, Zonghai Yao, Hong Yu:
MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary Framework. - Aref Jafari, Yuhe Fan, Benyamin Jamialahmadi, Parsa Farinneya, Boxing Chen, Marzieh S. Tahaei:
SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers. - Kishor Datta Gupta, Md. Manjurul Ahsan, Mohd Ariful Haque, Roy George, Azmine Toushik Wasi:
UrbanInsight: A Distributed Edge Computing Framework with LLM-Powered Data Filtering for Smart City Digital Twins. - Paul Ruiz Alliata, Diana Rubaga, Daniel Kumlin, Alberto Puliga:
Parallelizing Drug Discovery: HPC Pipelines for Alzheimer's Molecular Docking and Simulation. - Srushti Thakar, Amit A. Nanavati:
Community Detection using Fortunato's Performance Measure. - Clara Sayffaerth, Annika Köhler, Julian Rasch, Albrecht Schmidt, Florian Müller:
Through the Expert's Eyes: Exploring Asynchronous Expert Perspectives and Gaze Visualizations in XR. - Denghang Hu, Taolue Chen, Philipp Rümmer, Fu Song, Zhilin Wu:
Decision Procedure for A Theory of String Sequences. - Yihong Chen:
Structure and Destructure: Dual Forces in the Making of Knowledge Engines. - Arjun Basandrai, Shourya Jain, K. Ilanthenral:
ART: Adaptive Resampling-based Training for Imbalanced Classification. - Riccardo Cescon, Andrea Martin, Giancarlo Ferrari-Trecate:
On the Global Optimality of Linear Policies for Sinkhorn Distributionally Robust Linear Quadratic Control. - Hao Wu, Haomin Zhou:
Deep Tangent Bundle (DTB) method: a Deep Neural Network approach to compute solutions of PDES. - Manish Verma, Vivek Sharma, Vishal Singh:
A Hybrid Ai Framework For Strategic Patent Portfolio Pruning: Integrating Learning To-Rank And Market Need Analysis For Technology Transfer Optimization. - Lun Ai, Johannes Langer, Ute Schmid, Stephen H. Muggleton:
Ultra Strong Machine Learning: Teaching Humans Active Learning Strategies via Automated AI Explanations. - Deepika Dash, Yeshil Bangera, Mithil Bangera, Gouthami Vadithya, Srikant Panda:
Who Gets Left Behind? Auditing Disability Inclusivity in Large Language Models. - Nadjib Achir, Philippe Jacquet:
BUBBLE-BLUE a multihop private network based on Bluetooth. - Xiangchen Wang, Jinrui Zhang, Teng Wang, Haigang Zhang, Feng Zheng:
Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors. - Jay Vaghasiya, Omkar Ghugarkar, Vishvesh Bhat, Vipul Dholaria, Julian McAuley:
CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs. - Kanchon Gharami, Hansaka Aluvihare, Shafika Showkat Moni, Berker Peköz:
Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation. - Chia-Hsuan Hsu, Jun-En Ding, Hsin-Ling Hsu, Feng Liu, Fang-Ming Hung:
RPRO:Ranked Preference Reinforcement Optimization for Enhancing Medical QA and Diagnostic Reasoning. - Zifeng Ding, Shenyang Huang, Zeyu Cao, Emma Kondrup, Zachary Yang, Xingyue Huang, Yuan Sui, Zhangdie Yuan, Yuqicheng Zhu, Xianglong Hu, Yuan He, Farimah Poursafaei, Michael M. Bronstein, Andreas Vlachos:
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning. - Bhima Sankar Manthina, Shreyash Gujar, Sachin Chaudhari, Kavita Vemuri, Shivam Chhirolya:
IoT-based Noise Monitoring using Mobile Nodes for Smart Cities. - Liancheng Zheng, Zhen Tian, Yangfan He, Shuo Liu, Huilin Chen, Fujiang Yuan, Yanhong Peng:
Enhanced Mean Field Game for Interactive Decision-Making with Varied Stylish Multi-Vehicles. - Sadia Zaman Mishu, S. M. Rafiuddin:
Performance Analysis of Supervised Machine Learning Algorithms for Text Classification. - Darko Sasanski, Riste Stojanov:
Food Data in the Semantic Web: A Review of Nutritional Resources, Knowledge Graphs, and Emerging Applications. - Adib Bazgir, Amir Habibdoust, Yuwen Zhang, Xing Song:
Causal MAS: A Survey of Large Language Model Architectures for Discovery and Effect Estimation. - Swadhin Biswas, Imran, Tuhin Sheikh:
A Unified Denoising and Adaptation Framework for Self-Supervised Bengali Dialectal ASR. - Josef Grün, Lukas Meyer, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke:
Towards Integrating Multi-Spectral Imaging with Gaussian Splatting. - Olusola Tolulope Odeyomi, Sofiat Olaosebikan, Opeyemi Ajibuwa, Oluwadoyinsola Ige:
Online Decentralized Federated Multi-task Learning With Trustworthiness in Cyber-Physical Systems. - Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu:
MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. - Shu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami, Alan Zhu, Shubham Agarwal, Ruiqi Chen, Samion Suwito, Shuo Yuan, Ion Stoica, Matei Zaharia, Alvin Cheung, Natacha Crooks, Joseph E. Gonzalez, Aditya G. Parameswaran:
Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. - Daniela Damian, Bachan Ghimire, Ze Shi Li:
REConnect: Participatory RE that Matters. - Fatma Chaouech, Javier Villegas, António Pereira, Carlos Baena, Sergio Fortes, Raquel Barco, Dominic Gribben, Mohammad Dib, Alba Villarino, Aser Cortines, Román Orús:
Quantum-based QoE Optimization in Advanced Cellular Networks: Integration and Cloud Gaming Use Case. - Hai-Jun Su:
A Robust Numerical Method for Solving Trigonometric Equations in Robotic Kinematics. - S. M. Rafiuddin:
Ranking of Bangla Word Graph using Graph-based Ranking Algorithms. - Aamod Khatiwada, Roee Shraga, Renée J. Miller:
Diverse Unionable Tuple Search: Novelty-Driven Discovery in Data Lakes [Technical Report]. - Ghazal Farhani, Taufiq Rahman, Dominique Charlebois:
Weather-Dependent Variations in Driver Gaze Behavior: A Case Study in Rainy Conditions. - Aishni Parab, Hongjing Lu, Ying Nian Wu, Sumit Gulwani:
Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction. - Matthew Varona, Karen Bonilla, Maryam Hedayati, Alark Joshi, Lane Harrison, Matthew Kay, Carolina Nobre:
The State of the Art in Visualization Literacy. - Scarlett Raine, Benjamin Moshirian, Tobias Fischer:
AI-driven Dispensing of Coral Reseeding Devices for Broad-scale Restoration of the Great Barrier Reef. - Elena Espinosa, Rubén Rodríguez Álvarez, José Miranda, Rafael Larrosa, Miguel Peón-Quirós, Oscar G. Plata, David Atienza:
GeneTEK: Low-power, high-performance and scalable genome sequence matching in FPGAs. - Yukio-Pegio Gunji, Andrew Adamatzky, Panagiotis Mougkogiannis, Andrei Khrenikov:
Quantum-like Coherence Derived from the Interaction between Chemical Reaction and Its Environment. - Bo Fu, Zhe Chen, Rahul Chandan, Alex Barbosa, Michael Caldara, Joey Durham, Federico Pecora:
Symbolic Planning and Multi-Agent Path Finding in Extremely Dense Environments with Movable Obstacles. - Jaeyeon Kim, Cheuk Kit Lee, Carles Domingo-Enrich, Yilun Du, Sham M. Kakade, Timothy Ngotiaoco, Sitan Chen, Michael S. Albergo:
Any-Order Flexible Length Masked Diffusion. - Zixin Zhu, Kevin Duarte, Mamshad Nayeem Rizve, Chengyuan Xu, Ratheesh Kalarot, Junsong Yuan:
CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation. - Alexis Horde-Vo, Matt Duckham, Estrid He, Rafe Benli:
Identifying Origins of Place Names via Retrieval Augmented Generation. - Xiaozhou Ye, Kevin I-Kai Wang:
Reinforcement Learning Driven Generalizable Feature Representation for Cross-User Activity Recognition. - Ibrahim Khalife, Ali Abbasi, Zhe Feng, Mingda Zhou, Xinming Huang, Youjian Liu:
Maximum a Posteriori Probability (MAP) Joint Carrier Frequency Offset (CFO) and Channel Estimation for MIMO Channels with Spatial and Temporal Correlations. - Qiang Li, Yuanming Cao:
Seeing through Unclear Glass: Occlusion Removal with One Shot. - Nikta Gohari Sadr, Sahar Heidariasl, Karine Megerdoomian, Laleh Seyyed-Kalantari, Ali Emami:
We Politely Insist: Your LLM Must Learn the Persian Art of Taarof. - Hirofumi Tsuruta, Masaya Kumagai:
MatPROV: A Provenance Graph Dataset of Material Synthesis Extracted from Scientific Literature. - Thays Leach Mitre:
TARA: A Low-Cost 3D-Printed Robotic Arm for Accessible Robotics Education. - Yonghyeon Lee, Tzu-Yuan Lin, Alexander Alexiev, Sangbae Kim:
Hierarchical Reactive Grasping via Task-Space Velocity Fields and Joint-Space Quadratic Programming. - Khashayar Khajavi, Tao Wang:
Lightening the Load: A Cluster-Based Framework for A Lower-Overhead, Provable Website Fingerprinting Defense. - Ateeq Sharfuddin, Travis D. Breaux:
Generative Goal Modeling. - Matte Lim, Catherine Yeh, Martin Wattenberg, Fernanda B. Viégas, Panagiotis Michalatos:
Chronotome: Real-Time Topic Modeling for Streaming Embedding Spaces. - Jaewoo Ahn, Junseo Kim, Heeseung Yun, Jaehyeon Son, Dongmin Park, Jaewoong Cho, Gunhee Kim:
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games. - Xiaoying Song, Anirban Saha Anik, Eduardo Blanco, Vanessa Frías-Martínez, Lingzi Hong:
A Dynamic Fusion Model for Consistent Crisis Response. - Dongfu Jiang, Yi Lu, Zhuofeng Li, Zhiheng Lyu, Ping Nie, Haozhe Wang, Alex Su, Hui Chen, Kai Zou, Chao Du, Tianyu Pang, Wenhu Chen:
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use. - Xiaoying Song, Anirban Saha Anik, Dibakar Barua, Pengcheng Luo, Junhua Ding, Lingzi Hong:
Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL. - Yulei Liao, Yang Liu, Pingbing Ming:
A concurrent global-local numerical method for multiscale parabolic equations. - Chengyuan Yao, Yunxuan Tang, Christopher Brooks, René F. Kizilcec, Renzhe Yu:
When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts. - Sumitaka Honji, Takahiro Wada:
Model Predictive Control for a Soft Robotic Finger with Stochastic Behavior based on Fokker-Planck Equation. - Chong Wang, Haoning Wu, Peng Liang, Maya Daneva, Marten van Sinderen:
A Survey on the Techniques and Tools for Automated Requirements Elicitation and Analysis of Mobile Apps. - Ziyi Liu, Zhe Xu, Jiabo Ma, Wenqaing Li, Junlin Hou, Fuxiang Huang, Xi Wang, Ronald Cheong Kin Chan, Terence Tsz Wai Wong, Hao Chen:
A Unified Low-level Foundation Model for Enhancing Pathology Image Quality. - Yuhong Zhang, Xusheng Zhu, Yuchen Xu, ChiaEn Lu, Hsinyu Shih, Gert Cauwenberghs, Tzyy-Ping Jung:
IMU-Enhanced EEG Motion Artifact Removal with Fine-Tuned Large Brain Models. - Sitong Tao, Fei Han:
A new definition of peridynamic damage for thermo-mechanical fracture modeling. - Yao Wang, Dong Yang, Zhi Qiao, Wenjian Huang, Liuzhi Yang, Zhen Qian:
SpectMamba: Integrating Frequency and State Space Models for Enhanced Medical Image Detection. - Abdessalam Bouchekif, Samer Rashwani, Heba Sbahi, Shahd Gaben, Mutaz Al-Khatib, Mohammed Ghaly:
Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law Evaluation. - Madhav Kanda, Shubham Ugare, Sasa Misailovic:
REFINESTAT: Efficient Exploration for Probabilistic Program Synthesis. - Mingyu Yang, Jae-Young Choi, Kihyo Moon, Minsung Jang, Eunjoo Jeon:
DSDE: Dynamic Speculative Decoding with KLD Stability for Real-World Serving. - Farah Adeeba, Rajesh Bhatt:
A Paradigm Gap in Urdu. - Chenlu Zhan, Wen Li, Chuyu Shen, Jun Zhang, Suhui Wu, Hao Zhang:
Bidirectional Sparse Attention for Faster Video Diffusion Training. - Rathish Das, Hao Sun:
Almost Tight Approximation Hardness and Online Algorithms for Resource Scheduling. - Jinwen Chen, Hainan Zhang, Liang Pang, Yongxin Tong, Haibo Zhou, Yuan Zhan, Wei Lin, Zhiming Zheng:
Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation. - Jinjoo Shim, Jacob Hunecke, Elgar Fleisch, Filipe Barata:
CosinorAge: Unified Python and Web Platform for Biological Age Estimation from Wearable- and Smartwatch-Based Activity Rhythms. - James Tian:
A Class of Random-Kernel Network Models. - Xiaoqiang Lin, Aritra Ghosh, Bryan Kian Hsiang Low, Anshumali Shrivastava, Vijai Mohan:
REFRAG: Rethinking RAG based Decoding. - Yulong Wu, Viktor Schlegel, Riza Batista-Navarro:
Natural Context Drift Undermines the Natural Language Understanding of Large Language Models. - Zhihong Wei:
An End-to-End Framework for Video Multi-Person Pose Estimation. - Hugo A. Akitaya, Justin Dallant, Erik D. Demaine, Michael Kaufmann, Linda Kleist, Frederick Stock, Csaba D. Tóth, Torsten Ueckerdt:
The Price of Connectivity Augmentation on Planar Graphs. - Xuan Deng, Xingtao Wang, Xiandong Meng, Xiaopeng Fan, Debin Zhao:
PVINet: Point-Voxel Interlaced Network for Point Cloud Compression. - Zhijie Zhong, Zhiwen Yu, Yiu-ming Cheung, Kaixiang Yang:
CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection. - Mohaned Chraiti, Özgür Erçetin, Ali Ghrayeb, Ali Gorcin:
On the Resilience of Direction-Shift Keying Against Phase Noise and Short Channel Coherence Time at mmWave Frequencies. - Huang Fang, Mengxi Zhang, Heng Dong, Wei Li, Zixuan Wang, Qifeng Zhang, Xueyun Tian, Yucheng Hu, Hang Li:
Robix: A Unified Model for Robot Interaction, Reasoning and Planning. - Wenzhuang Wang, Yifan Zhao, Mingcan Ma, Ming Liu, Zhonglin Jiang, Yong Chen, Jia Li:
FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation. - Zhengqiang Zhang, Rongyuan Wu, Lingchen Sun, Lei Zhang:
GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation. - Haolan Zhang, Chenghao Li, Thanh Nguyen Canh, Lijun Wang, Nak Young Chong:
SR-SLAM: Scene-reliability Based RGB-D SLAM in Diverse Environments. - Haiyun Zhang, Kelvin Ho Lam Heung, Gabrielle J. Naquila, Ashwin Hingwe, Ashish D. Deshpande:
A novel parameter estimation method for pneumatic soft hand control applying logarithmic decrement for pseudo rigid body modeling. - Jinyuan Chen:
Ocior: Ultra-Fast Asynchronous Leaderless Consensus with Two-Round Finality, Linear Overhead, and Adaptive Security. - Senura Hansaja Wanasekara, Van-Dinh Nguyen, Kok-Seng, M.-Duong Nguyen, Symeon Chatzinotas, Octavia A. Dobre:
SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning. - Yijun Chen, Farhad Farokhi, Yutong Bu, Nicholas Kah Yean Low, Jarra Horstman, Julian Greentree, Robin Evans, Andrew Melatos:
Using Gaussian Mixtures to Model Evolving Multi-Modal Beliefs Across Social Media. - Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin:
Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics. - Aminul Islam, Mukta Bansal, Lena Felix Stephanie, Poernomo Gunawan, Pui Tze Sian, Sabrina Luk, Eunice Tan, Hortense Le Ferrand:
Assessing prompting frameworks for enhancing literature reviews among university students using ChatGPT. - Shiwen Zhang, Lingxiang Wang, Hainan Zhang, Ziwei Wang, Sijia Wen, Zhiming Zheng:
Beyond the Surface: A Solution-Aware Retrieval Model for Competition-level Code Generation. - Parivash Feyzishendi, Sophia Hamer, Jinyu Huang, Tyler R. Josephson:
Formal Verification of Isothermal Chemical Reactors. - Xilong Zhou, Pedro Figueiredo, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Yiwei Hu, Nima Khademi Kalantari:
RealMat: Realistic Materials with Diffusion and Reinforcement Learning. - Guangli Li, Canbiao Wu, Zhehao Zhou, Na Tian, Zhen Liang:
MATL-DC: A Multi-domain Aggregation Transfer Learning Framework for EEG Emotion Recognition with Domain-Class Prototype under Unseen Targets. - Gabriel Simmons:
Heads or Tails: A Simple Example of Causal Abstractive Simulation. - Guangzheng Zhong, Yang Liu, Jiming Liu:
Nonlinear Performative Prediction. - Zhihui Xie, Jiacheng Ye, Lin Zheng, Jiahui Gao, Jingwei Dong, Zirui Wu, Xueliang Zhao, Shansan Gong, Xin Jiang, Zhenguo Li, Lingpeng Kong:
Dream-Coder 7B: An Open Diffusion Language Model for Code. - Weiren Zhao, Lanfeng Zhong, Xin Liao, Wenjun Liao, Sichuan Zhang, Shaoting Zhang, Guotai Wang:
MetaSSL: A General Heterogeneous Loss for Semi-Supervised Medical Image Segmentation. - Haiyun Zhang, Gabrielle J. Naquila, JungHyun Bae, Zonghuan Wu, Ashwin Hingwe, Ashish D. Deshpande:
Novel bio-inspired soft actuators for upper-limb exoskeletons: design, fabrication and feasibility study. - Zhihao Zhang, Sophia Yat Mei Lee, Dong Zhang, Shoushan Li, Guodong Zhou:
Zero-shot Cross-lingual NER via Mitigating Language Difference: An Entity-aligned Translation Perspective. - Hui Zeng, Zhihao Xu, Hui Li, Siwen Wang, Qian Ma:
Compiler Bugs Detection in Logic Synthesis Tools via Linear Upper Confidence Bound. - Yun Chu, Qiuhao Wang, Enze Zhou, Qian Liu, Gang Zheng:
EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection. - Taiga Yamane, Ryo Masumura, Satoshi Suzuki, Shota Orihashi:
MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost. - Xuemei Tang, Chengxi Yan, Jinghang Gu, Chu-Ren Huang:
Joint Information Extraction Across Classical and Modern Chinese with Tea-MOELoRA. - Cheng Cheng, Zeping Chen, Rui Xie, Peiyao Zheng, Xavier Wang:
Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers. - Cheng Cheng, Zeping Chen, Xavier Wang:
A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture. - Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan:
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning. - Hyunjong Ok, Jaeho Lee:
Do Video Language Models Really Know Where to Look? Diagnosing Attention Failures in Video Language Models. - Dmitry Yaremus, Jianghai Li, Alisa Kalacheva, Igor Vodolazov, Yury Yanovich:
Detecting Rug Pulls in Decentralized Exchanges: Machine Learning Evidence from the TON Blockchain. - Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Michalis Vazirgiannis:
ADMP-GNN: Adaptive Depth Message Passing GNN. - Junxiang Liu, Junming Lin, Jiangtong Li, Jie Li:
DynaMind: Reconstructing Dynamic Visual Scenes from EEG by Aligning Temporal Dynamics and Multimodal Semantics to Guided Diffusion. - Hao Guo, Zhaoqian Liu, Liqiang Peng, Shuaishuai Li, Ximing Fu, Weiran Liu, Lin Qu:
Efficient and High-Accuracy Secure Two-Party Protocols for a Class of Functions with Real-number Inputs. - Qiaoqiao Jin, Siming Fu, Dong She, Weinan Jia, Hualiang Wang, Mu Liu, Jidong Jiang:
FocusDPO: Dynamic Preference Optimization for Multi-Subject Personalized Image Generation via Adaptive Focus. - Wonduk Seo, Taesub Shin, Hyunjin An, Dokyun Kim, Seunghyun Lee:
Question-to-Knowledge: Multi-Agent Generation of Inspectable Facts for Product Mapping. - Bingnan Yang, Mi Zhang, Zhili Zhang, Zhan Zhang, Yuanxin Zhao, Xiangyun Hu, Jianya Gong:
SegAssess: Panoramic quality mapping for robust and transferable unsupervised segmentation assessment. - Yutian Xiao, Shukuan Wang, Binhao Wang, Zhao Zhang, Yanze Zhang, Shanqi Liu, Chao Feng, Xiang Li, Fuzhen Zhuang:
MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction. - Seganrasan Subramanian, Abhigya Verma:
Modular Techniques for Synthetic Long-Context Data Generation in Language Model Training and Evaluation. - Luxi He, Nimra Nadeem, Michel Liao, Howard Chen, Danqi Chen, Mariano-Florentino Cuellar, Peter Henderson:
Statutory Construction and Interpretation for Artificial Intelligence. - Zihao Wang, Yunjie Li, Lingmin Zan, Zheng Gong, Mengtao Zhu:
StoxLSTM: A Stochastic Extended Long Short-Term Memory Network for Time Series Forecasting. - Sajjad Kachuee, Mohammad Sharifkhani:
Efficient Large Language Models with Zero-Shot Adjustable Acceleration. - Sheng Lin, Fangcheng Fu, Haoyang Li, Hao Ge, Xuanyu Wang, Jiawen Niu, Yaofeng Tu, Bin Cui:
LobRA: Multi-tenant Fine-tuning over Heterogeneous Data. - Eddi Weinwurm, Alexander Kovalenko:
Preserving Vector Space Properties in Dimensionality Reduction: A Relationship Preserving Loss Framework. - Xiaoran Yang, Yuyang Du, Kexin Chen, Soung Chang Liew, Jiamin Lu, Ziyu Guo, Xiaoyan Liu, Qun Yang, Shiqi Xu, Xingyu Fan, Yuchen Pan, Taoyong Cui, Hongyu Deng, Boris Dudder, Jianzhang Pan, Qun Fang, Pheng-Ann Heng:
IndusGCC: A Data Benchmark and Evaluation Framework for GUI-Based General Computer Control in Industrial Automation. - Chenyang Le, Bing Han, Jinshun Li, Songyong Chen, Yanmin Qian:
SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation. - Suhwan Jung, Seokwoo Choi, Youngkeun Yoon, Ho-Kyung Son, Hyoil Kim:
Modeling and Analysis of Coexistence Between MLO NSTR-based Wi-Fi 7 and Legacy Wi-Fi. - Hiyam Debary, Mustansar Fiaz, Levente J. Klein:
PrediTree: A Multi-Temporal Sub-meter Dataset of Multi-Spectral Imagery Aligned With Canopy Height Maps. - Tianwei Ye, Yong Ma, Xiaoguang Mei:
DcMatch: Unsupervised Multi-Shape Matching with Dual-Level Consistency. - Liangjing Shao, Benshuang Chen, Chenkang Du, Xueli Liu, Xinrong Chen:
EndoGeDE: Generalizable Monocular Depth Estimation with Mixture of Low-Rank Experts for Diverse Endoscopic Scenes. - Maëlic Neau, Zoe Falomir, Cédric Buche, Akihiro Sugimoto:
Measuring Image-Relation Alignment: Reference-Free Evaluation of VLMs and Synthetic Pre-training for Open-Vocabulary Scene Graph Generation. - Dezhang Kong, Hujin Peng, Yilun Zhang, Lele Zhao, Zhenhua Xu, Shi Lin, Changting Lin, Meng Han:
Web Fraud Attacks Against LLM-Driven Multi-Agent Systems. - Ege Süalp, Mina Rezaei:
Mitigating Catastrophic Forgetting in Continual Learning through Model Growth. - Yizhe Yuan, Bingsen Xue, Bangzheng Pu, Chengxiang Wang, Cheng Jin:
PRINTER:Deformation-Aware Adversarial Learning for Virtual IHC Staining with In Situ Fidelity. - Yuan Liu, Zhongyin Zhao, Le Tian, Haicheng Wang, Xubing Ye, Yangxiu You, Zilin Yu, Chuhan Wu, Xiao Zhou, Yang Yu, Jie Zhou:
POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion. - Christof Groschke, Steffen Goebbels, Jochen Rethmann:
Column-generation for a two-dimensional multi-criteria bin-packing problem. - Wei Huang, Huang Wei, Yinggui Wang:
DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression. - Jianyu Dou, Yinan Deng, Jiahui Wang, Xingsi Tang, Yi Yang, Yufeng Yue:
OpenMulti: Open-Vocabulary Instance-Level Multi-Agent Distributed Implicit Mapping. - Huanqi Hu, Bowen Xiao, Shixuan Sun, Jianian Yin, Zhexi Zhang, Xiang Luo, Chengquan Jiang, Weiqi Xu, Xiaoying Jia, Xin Liu, Minyi Guo:
LiquidGEMM: Hardware-Efficient W4A8 GEMM Kernel for High-Performance LLM Serving. - Shyama Sastha Krishnamoorthy Srinivasan, Mohan Kumar, Pushpendra Singh:
Unpacking Personal(?!) Health Informatics: An Investigation of Awareness, Understanding, And Leveraged Utility in India. - Lingzhou Mu, Qiang Wang, Fan Jiang, Mengchao Wang, Yaqi Fan, Mu Xu, Kai Zhang:
FantasyHSI: Video-Generation-Centric 4D Human Synthesis In Any Scene through A Graph-based Multi-Agent Framework. - Weihang Ouyang, Min Zhu, Wei Xiong, Si-Wei Liu, Lu Lu:
RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations. - Yixiong Ren, Wenkang Du, Jianhui Zhou, Haiping Huang:
Geometric origin of adversarial vulnerability in deep learning. - Hao Yang, Zhiyu Yang, Yunjie Zhang, Shanyi Zhu, Lin Yang:
Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors. - Jiasheng Xu, Mingda Li, Yongqiang Tang, Peijie Wang, Wensheng Zhang:
Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration Framework. - Viet Hai Le, Thanh Phong Pham, Tuan Thanh Nguyen, Kui Cai, Kees A. Schouhamer Immink:
From One-Dimensional Codes to Two-Dimensional Codes: A Universal Framework for the Bounded-Weight Constraint. - Ethan Qi Yang Chua, Jen Hong Tan:
RT-DETRv2 Explained in 8 Illustrations. - Lee Chae-Yeon, Nam Hyeon-Woo, Tae-Hyun Oh:
Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation. - Yusheng Zheng, Yanpeng Hu, Wei Zhang, Andi Quinn:
Towards Agentic OS: An LLM Agent Framework for Linux Schedulers. - Larissa R. de S. Shibata, Ankit A. Ravankar, Jose Victorio Salazar Luces, Yasuhisa Hirata:
An AI-Based Shopping Assistant System to Support the Visually Impaired. - Xiangdong Zhang, Shaofeng Zhang, Junchi Yan:
Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views. - Pilar Bachiller-Burgos, Ulysses Bernardet, Luis V. Calderita, Pranup Chhetri, Anthony G. Francis, Noriaki Hirose, Noé Pérez, Dhruv Shah, Phani-Teja Singamaneni, Xuesu Xiao, Luis J. Manso:
Towards Data-Driven Metrics for Social Robot Navigation Benchmarking. - Sayan Biswas, Philippe Chartier, Akash Balasaheb Dhasade, Tom Jurien, David Kerriou, Anne-Marie Kerrmarec, Mohammed Lemou, Franklin Tranie, Martijn de Vos, Milos Vujasinovic:
Practical and Private Hybrid ML Inference with Fully Homomorphic Encryption. - Niklas Kemper, Tom Wollschläger, Stephan Günnemann:
What Expressivity Theory Misses: Message Passing Complexity for GNNs. - Oleksii Novikov, Davide Fucci, Oleksandr Adamov, Daniel Mendez:
Policy-driven Software Bill of Materials on GitHub: An Empirical Study. - Zhipeng Zhu, Wai Yeung Lam, Lok Ming Lui:
A Structure-Preserving Numerical Method for Harmonic Maps Between High-genus Surfaces. - Andrea Fox, Francesco De Pellegrini, Eitan Altman:
Multi-Agent Reinforcement Learning for Task Offloading in Wireless Edge Networks. - Thinh-Phuc Nguyen, Thanh-Hai Nguyen, Gia-Huy Dinh, Lam-Huy Nguyen, Minh-Triet Tran, Trung-Nghia Le:
ReCap: Event-Aware Image Captioning with Article Retrieval and Semantic Gaussian Normalization. - Jonas Noblet:
Annotation and modeling of emotions in a textual corpus: an evaluative approach. - Stefano Fioravanti, Matteo Zavatteri, Roberto Confalonieri, Kamyar Zeinalipour, Paolo Frazzetto, Alessandro Sperduti, Nicolò Navarin:
Iterative In-Context Learning to Enhance LLMs Abstract Reasoning: The Case-Study of Algebraic Tasks. - Wenxing Zhu, Mingyang Pan, Dongdong He:
Linear, decoupled, second-order and structure-preserving scheme for Carreau fluid equations coupled with steric Poisson-Nernst-Planck model. - Rujie Dai, Peizhuo Lv, Yujiang Gui, Qiujian Lv, Yuanyuan Qiao, Yan Wang, Degang Sun, Weiqing Huang, Yingjiu Li, XiaoFeng Wang:
An Automated Attack Investigation Approach Leveraging Threat-Knowledge-Augmented Large Language Models. - Felix Klempt, Hendrik Geisler, Meisam Soleimani, Philipp Junker:
A continuum multi-species biofilm model with a novel interaction scheme. - Jiahao Li, Yang Lu, Yachao Zhang, Fangyong Wang, Yuan Xie, Yanyun Qu:
Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic Segmentation. - Shiwen He, Dong Haolei, Liangpeng Wang, Zhenyu An:
A Real-time Data Collection Approach for 6G AI-native Networks. - Jingxing Fan, Jinrong Shen, Yusheng Yao, Shuangqing Wang, Qian Wang, Yuling Wang:
Communicative Agents for Slideshow Storytelling Video Generation based on LLMs. - Wenxing Zhu, Mingyang Pan, Dongdong He:
Linear, decoupled, positivity preserving, positive-definiteness preserving and energy stable schemes for the diffusive Oldroyd-B coupled with PNP model. - Xinyi Yu, Zhiwei Lin, Yongtao Wang:
SAR-NAS: Lightweight SAR Object Detection with Neural Architecture Search. - Zhiwei Lin, Weicheng Zheng, Yongtao Wang:
Multi-Representation Adapter with Neural Architecture Search for Efficient Range-Doppler Radar Object Detection. - Julen Cestero, Marco Quartulli, Marcello Restelli:
Building surrogate models using trajectories of agents trained by Reinforcement Learning. - Sören Bartels, Balázs Kovács, Dominik Schneider:
Quasi-optimal error estimates for the approximation of stable stationary states of the elastic energy of inextensible curves. - Nouhed Naidja, Stéphane Font, Marc Revilloud, Guillaume Sandou:
Toward a Holistic Multi-Criteria Trajectory Evaluation Framework for Autonomous Driving in Mixed Traffic Environment. - Xiao Xue, Marco F. P. ten Eikelder, Tianyue Yang, Yiqing Li, Kan He, Shuo Wang, Peter V. Coveney:
Equivariant U-Shaped Neural Operators for the Cahn-Hilliard Phase-Field Model. - Helge Spieker, Nadjib Lazaar, Arnaud Gotlieb, Nassim Belmecheri:
Metamorphic Testing of Multimodal Human Trajectory Prediction. - Seonsoo Kim, Jun-Gill Kang, Taehong Kim, Seongil Hong:
Disentangled Multi-Context Meta-Learning: Unlocking robust and Generalized Task Learning. - Huan Ni, Qingshan Liu, Xiaonan Niu, Danfeng Hong, Lingli Zhao, Haiyan Guan:
Cross-Domain Few-Shot Segmentation via Ordinary Differential Equations over Time Intervals. - J. M. Rosito, Elena Petri, E. Steur, W. P. M. H. Heemels:
Design, Modelling and Analysis of a Bio-inspired Spiking Temperature Regulator. - Juhyun Oh, Inha Cha, Michael Saxon, Hyunseung Lim, Shaily Bhatt, Alice Oh:
Culture is Everywhere: A Call for Intentionally Cultural Evaluation. - Peter Stockinger:
Animer une base de connaissance: des ontologies aux mod{è}les d'I.A. g{é}n{é}rative. - Jiawei Cao, Jie Ouyang, Zhaomeng Zhou, Mingyue Cheng, Yupeng Li, Jiaxian Yan, Qi Liu:
Re3: Learning to Balance Relevance & Recency for Temporal Information Retrieval. - Mattia Tritto, Giuseppe Farano, Dario Di Palma, Gaetano Rossiello, Fedelucio Narducci, Dharmashankar Subramanian, Tommaso Di Noia:
GradeSQL: Outcome Reward Models for Ranking SQL Queries from Large Language Models. - Sishi Xiong, Ziyang He, Zhongjiang He, Yu Zhao, Changzai Pan, Jie Zhang, Zhenhe Wu, Shuangyong Song, Yongxiang Li:
TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering. - Zhao Tian, Junjie Chen:
Aligning Requirement for Large Language Model's Code Generation. - Anum Afzal, Mehul Kumawat, Florian Matthes:
Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization. - Alexandros Gkillas, Nikos Piperigkos, Aris S. Lalos:
Guided Model-based LiDAR Super-Resolution for Resource-Efficient Automotive scene Segmentation. - Chiara Ghinami, Jonas Winzer, Nils Bosbach, Lennart M. Reimann, Lukas Jünger, Simon Wörner, Rainer Leupers:
Leveraging SystemC-TLM-based Virtual Prototypes for Embedded Software Fuzzing. - Li Rong Wang, Thomas C. Henderson, Yew Soon Ong, Yih Yng Ng, Xiuyi Fan:
Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals. - Xinyu Tang, Zhenduo Zhang, Yurou Liu, Wayne Xin Zhao, Zujie Wen, Zhiqiang Zhang, Jun Zhou:
Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward. - Meituan LongCat Team, Bayan, Bei Li, Bingye Lei, Bo Wang, Bolin Rong, Chao Wang, Chao Zhang, Chen Gao, Chen Zhang, Cheng Sun, Chengcheng Han, Chenguang Xi, Chi Zhang, Chong Peng, Chuan Qin, Chuyu Zhang, Cong Chen, Congkui Wang, Dan Ma, Daoru Pan, Defei Bu, Dengchang Zhao, Deyang Kong, Dishan Liu, Feiye Huo, Fengcun Li, Fubao Zhang, Gan Dong, Gang Liu, Gang Xu, Ge Li, Guoqiang Tan, Guoyuan Lin, Haihang Jing, Haomin Fu, Haonan Yan, Haoxing Wen, Haozhe Zhao, Hong Liu, Hongmei Shi, Hongyan Hao, Hongyin Tang, Huantian Lv, Hui Su, Jiacheng Li, Jiahao Liu, Jiahuan Li, Jiajun Yang, Jiaming Wang, Jian Yang, Jianchao Tan, Jiaqi Sun, Jiaqi Zhang, Jiawei Fu, Jiawei Yang, Jiaxi Hu, Jiayu Qin, Jingang Wang, Jiyuan He, Jun Kuang, Junhui Mei, Kai Liang, Ke He, Kefeng Zhang, Keheng Wang, Keqing He, Liang Gao, Liang Shi, Lianhui Ma, Lin Qiu, Lingbin Kong, Lingtong Si, Linkun Lyu, Linsen Guo, Liqi Yang, Lizhi Yan, Mai Xia, Man Gao, Manyuan Zhang, Meng Zhou, Mengxia Shen, Mingxiang Tuo, Mingyang Zhu, Peiguang Li, Peng Pei, Peng Zhao, Pengcheng Jia, Pingwei Sun, Qi Gu, Qianyun Li, Qingyuan Li, Qiong Huang, Qiyuan Duan, Ran Meng, Rongxiang Weng, Ruichen Shao, Rumei Li, Shizhe Wu, Shuai Liang:
LongCat-Flash Technical Report. - Hong Lu, Jiali Chen, Jingzhao Zhang, Guannan He, Xuebing Han, Minggao Ouyang:
Multitask Battery Management with Flexible Pretraining. - Jihyung Lee, Daehui Kim, Seonjeong Hwang, Hyounghun Kim, Gary Lee:
KoBLEX: Open Legal Question Answering with Multi-hop Reasoning. - Wei Wang, Felix Henry, Junzhe Chen, Dan Zhang, Shiyu Huang, Evgeny Kharlamov, Jie Tang:
Can Large Language Models Master Complex Card Games? - Wei Bu:
Globally aware optimization with resurgence. - Fuyou Mao, Beining Wu, Yanfeng Jiang, Han Xue, Yan Tang, Hao Zhang:
Prior-Guided Residual Diffusion: Calibrated and Efficient Medical Image Segmentation. - Oussama Messai, Abbass Zein-Eddine, Abdelouahid Bentamou, Mickaël Picq, Nicolas Duquesne, Stéphane Puydarrieux, Yann Gavet:
Image Quality Enhancement and Detection of Small and Dense Objects in Industrial Recycling Processes. - Wen-Chin Huang, Hui Wang, Cheng Liu, Yi-Chiao Wu, Andros Tjandra, Wei-Ning Hsu, Erica Cooper, Yong Qin, Tomoki Toda:
The AudioMOS Challenge 2025. - Qianrui Zhou, Hua Xu, Yifan Wang, Xinzhi Dong, Hanlei Zhang:
LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition. - Francesca Cairoli, Luca Bortolussi, Jyotirmoy V. Deshmukh, Lars Lindemann, Nicola Paoletti:
Conformal Predictive Monitoring for Multi-Modal Scenarios. - Bochen Ye, Gustavo Naspolini, Kimmo Salo, Manil Dev Gomony:
LinkBo: An Adaptive Single-Wire, Low-Latency, and Fault-Tolerant Communications Interface for Variable-Distance Chip-to-Chip Systems. - Yunus Serhat Bicakci, Joseph Shingleton, Anahid Basiri:
Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation. - Vishal Pandey, Ranjita Das, Debasmita Biswas:
AgroSense: An Integrated Deep Learning System for Crop Recommendation via Soil Image Analysis and Nutrient Profiling. - Arijit Sarkar, Vaibhav Kumar Singh, Manuel Schaller, Karl Worthmann:
Energy-optimal control of discrete-time port-Hamiltonian systems. - Mohammad Amin Sheikhi, Gabriel de Albuquerque Gleizer, Peyman Mohajerin Esfahani, Tamás Keviczky:
Data-Driven Fault Isolation in Linear Time-Invariant Systems: A Subspace Classification Approach. - Jaeho Choi, Hyeri Kim, Kwang-Ho Kim, Jaesung Lee:
AT Loss: Advanced Torrential Loss Function for Precipitation Forecasting. - Yunqing Liu, Nan Zhang, Zhiming Tan:
Error Notebook-Guided, Training-Free Part Retrieval in 3D CAD Assemblies via Vision-Language Models. - Soma Bandyopadhyay, Sudeshna Sarkar:
Causal Sensitivity Identification using Generative Learning. - Ema Cesek, Ales Vavpetic:
Curvature-Based Optimal Polynomial Geometric Interpolation of Circular Arcs. - Wei Huang, Anda Cheng, Zhao Zhang, Yinggui Wang:
DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment. - Che Liu, Zheng Jiang, Chengyu Fang, Heng Guo, Yan-Jie Zhou, Jiaqi Qu, Le Lu, Minfeng Xu:
M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision. - Jiayi Gao, Changcheng Hua, Qingchao Chen, Yuxin Peng, Yang Liu:
Identity-Preserving Text-to-Video Generation via Training-Free Prompt, Image, and Guidance Enhancement. - Mohammad Zbeeb, Hasan Abed Al Kader Hammoud, Bernard Ghanem:
Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic. - Peiran Liu, Qiang Zhang, Daojie Peng, Lingfeng Zhang, Yihao Qin, Hang Zhou, Jun Ma, Renjing Xu, Yiding Ji:
TopoNav: Topological Graphs as a Key Enabler for Advanced Object Navigation. - Xuanru Cheng, Xian Wang, Chi-lok Tai, Lik-Hang Lee:
MetaRoundWorm: A Virtual Reality Escape Room Game for Learning the Lifecycle and Immune Response to Parasitic Infections. - Jiarui Cao, Zhiyang Zhang, Heming Wang, Jun Xu, Ling Lan, Ran Gu, Simon J. L. Billinge:
CbLDM: A Diffusion Model for recovering nanostructure from pair distribution function. - Guilherme H. Apostolo, Pablo Bauszat, Vinod Nigade, Henri E. Bal, Lin Wang:
Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices. - Dennis Laurijssen, Rens Baeyens, Walter Daems, Jan Steckel:
ConamArray: A 32-Element Broadband MEMS Ultrasound Transducer Array. - Wei Lu, Lingyu Zhu, Si-Bao Chen:
Unsupervised Ultra-High-Resolution UAV Low-Light Image Enhancement: A Benchmark, Metric and Framework. - Alberto Miguel-Diez, Adrián Campazas Vega, Ángel Manuel Guerrero-Higueras, Claudia Álvarez-Aparicio, Vicente Matellán Olivera:
Anomaly detection in network flows using unsupervised online machine learning. - Paloma Piot, Diego Sánchez, Javier Parapar:
WATCHED: A Web AI Agent Tool for Combating Hate Speech by Expanding Data. - Qing Xia:
A geometrically robust unfitted boundary algebraic equation method based on discrete potentials and local basis functions. - Joël Mathys, Federico Errica:
Learn to Jump: Adaptive Random Walks for Long-Range Propagation through Graph Hierarchies. - Long Zhang, Peipei Song, Jianfeng Dong, Kun Li, Xun Yang:
Enhancing Partially Relevant Video Retrieval with Robust Alignment Learning. - Gilles Bertrand:
Morse sequences on stacks and flooding sequences. - Serwar Basch, Ilia Kuznetsov, Tom Hope, Iryna Gurevych:
ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained Links. - Philipp Hartmann, Jannick Stranghöner, Klaus Neumann:
End-to-End Low-Level Neural Control of an Industrial-Grade 6D Magnetic Levitation System. - Diego Clerissi, Elena Masserini, Daniela Micucci, Leonardo Mariani:
Towards Multi-Platform Mutation Testing of Task-based Chatbots. - Joonyong Park, Shinnosuke Takamichi, David M. Chan, Shunsuke Kando, Yuki Saito, Hiroshi Saruwatari:
Analysing the Language of Neural Audio Codecs. - Qizhao Chen, Hiroaki Kawashima:
Adaptive Alpha Weighting with PPO: Enhancing Prompt-Based LLM-Generated Alphas in Quant Trading. - KV Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar:
LLMs cannot spot math errors, even when allowed to peek into the solution. - Haiyuan Wan, Chen Yang, Junchi Yu, Meiqi Tu, Jiaxuan Lu, Di Yu, Jianbao Cao, Ben Gao, Jiaqing Xie, Aoran Wang, Wenlong Zhang, Philip Torr, Dongzhan Zhou:
DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks. - Cristina Cornelio, Takuya Ito, Ryan Cory-Wright, Sanjeeb Dash, Lior Horesh:
The Need for Verification in AI-Driven Scientific Discovery. - Runduo Han, Yanxin Hu, Yihui Fu, Zihan Zhang, Yukai Jv, Li Chen, Lei Xie:
CabinSep: IR-Augmented Mask-Based MVDR for Real-Time In-Car Speech Separation with Distributed Heterogeneous Arrays. - Armin Hadzic, Milan Papez, Tomás Pevný:
Distillation of a tractable model from the VQ-VAE. - Ali Abouzeid, Bilal Elbouardi, Mohamed Maged, Shady Shehata:
ArabEmoNet: A Lightweight Hybrid 2D CNN-BiLSTM Model with Attention for Robust Arabic Speech Emotion Recognition. - Emmanouil Nikolakakis, Amine Ouasfi, Julie Digne, Razvan Marinescu:
RibPull: Implicit Occupancy Fields and Medial Axis Extraction for CT Ribcage Scans. - Jianman Lin, Tianshui Chen, Chunmei Qing, Zhijing Yang, Shuangping Huang, Yuheng Ren, Liang Lin:
Neural Scene Designer: Self-Styled Semantic Image Manipulation. - Matteo Ballegeer, Matthias Bogaert, Dries F. Benoit:
Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring. - Ugur Çogalan, Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Colin Groth:
MILO: A Lightweight Perceptual Quality Metric for Image and Latent-Space Optimization. - Kaviraj Pather, Elena Hadjigeorgiou, Arben Krasniqi, Claire Schmit, Irina Rusu, Marc Pons, Kabir Khan:
Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning. - Tatsuya Gima, Yasuaki Kobayashi, Yuto Okada, Yota Otachi, Hayato Takaike:
Hitting Geodesic Intervals in Structurally Restricted Graphs. - Yutong Lin, Suyuan Liu, Kaiwen Guo, Haohua Du, Chao Liu, Xiang-Yang Li:
AttenTrack: Mobile User Attention Awareness Based on Context and External Distractions. - Aparup Dhar, MD Tamim Hossain, Pritom Barua:
Bangladeshi Street Food Calorie Estimation Using Improved YOLOv8 and Regression Model. - Qiyun Cheng, Md Hossain Sahadath, Huihua Yang, Shaowu Pan, Wei Ji:
Accelerating PDE Solvers with Equation-Recast Neural Operator Preconditioning. - Yang Liu, Masahiro Kaneko, Chenhui Chu:
On the Alignment of Large Language Models with Global Human Opinion. - Evan G. Center, Matti Pouke, Alessandro Nardi, Lukas Gehrke, Klaus Gramann, Timo Ojala, Steven M. LaValle:
Body Ownership Affects the Processing of Sensorimotor Contingencies in Virtual Reality. - Guohui Zhang, Jiangtong Tan, Linjiang Huang, Zhonghang Yuan, Naishan Zheng, Jie Huang, Feng Zhao:
InfoScale: Unleashing Training-free Variable-scaled Image Generation via Effective Utilization of Information. - Julien Saan Joachim, Marc de Visme, Stefan Haar, Glynn Winskel:
Quantum Petri Nets with Event Structure semantics. - Amir R. Asadi:
Hierarchical Maximum Entropy via the Renormalization Group. - Sergio Miguel Martin, Luca Terracciano, Kiril Dichev, Noah Baumann, Jiashu Lin, Albert-Jan Yzelman:
HiCR, an Abstract Model for Distributed Heterogeneous Programming. - Zifan Lang, Guixia Liu, Jiahui Li, Geng Sun, Zemin Sun, Jiacheng Wang, Dusit Niyato, Victor C. M. Leung:
Multi-AAV-enabled Distributed Beamforming in Low-Altitude Wireless Networking for AoI-Sensitive IoT Data Forwarding. - Djamel Eddine Boukhari:
Mamba-CNN: A Hybrid Architecture for Efficient and Accurate Facial Beauty Prediction. - Nikola Milosevic, Nico Scherf:
The Geometry of Nonlinear Reinforcement Learning. - Handi Chen, Jing Deng, Xiuzhe Wu, Zhihan Jiang, Xinchen Zhang, Xianhao Chen, Edith C. H. Ngai:
LiFeChain: Lightweight Blockchain for Secure and Efficient Federated Lifelong Learning in IoT. - Junyuan Fang, Huimin Liu, Yueqi Peng, Jiajing Wu, Zibin Zheng, Chi K. Tse:
Unnoticeable Community Deception via Multi-objective Optimization. - Artur Díaz-Juan, Coloma Ballester, Gloria Haro:
SoccerHigh: A Benchmark Dataset for Automatic Soccer Video Summarization. - Andrei Semenov, Matteo Pagliardini, Martin Jaggi:
Benchmarking Optimizers for Large Language Model Pretraining. - Deyu Zhou, Yuqi Hou, Xiao Xue, Xudong Lu, Qingzhong Li, Lizhen Cui:
LLM-empowered Agents Simulation Framework for Scenario Generation in Service Ecosystem Governance. - João S. Ferreira, Arianna Crippa, Astryd Park, Daniel Bultrini, Pierre Fromholz, Roman Lipski, Karl Jansen, James R. Wootton:
Quantum Brush: A quantum computing-based tool for digital painting. - Sándor Kisfaludi-Bak, Geert van Wordragen:
Near-Optimal Dynamic Steiner Spanners for Constant-Curvature Spaces. - Shiji Zhao, Ranjie Duan, Jiexi Liu, Xiaojun Jia, Fengxiang Wang, Cheng Wei, Ruoxi Cheng, Yong Xie, Chang Liu, Qing Guo, Jialing Tao, Hui Xue, Xingxing Wei:
Strata-Sword: A Hierarchical Safety Evaluation towards LLMs based on Reasoning Complexity of Jailbreak Instructions. - Muhammad Ovais Ahmad, Tomas Gustavsson:
Non Technical Debt in Agile Software Development. - Seán Caulfield Curley, Karl Mason, Patrick Mannion:
Ireland in 2057: Projections using a Geographically Diverse Dynamic Microsimulation. - Ivan Revenga Riesco, Borut Lampret, Connor W. Myant, David Boyle:
5-axis Multi-material Desktop Additive Manufacturing of Conformal Antennas. - Ane San Martín, Michael Hagenow, Julie Shah, Johan Kildal, Elena Lazkano:
Analyzing Reluctance to Ask for Help When Cooperating With Robots: Insights to Integrate Artificial Agents in HRC. - Ece Takmaz, Albert Gatt, Jakub Dotlacil:
Traces of Image Memorability in Vision Encoders: Activations, Attention Distributions and Autoencoder Losses. - Markus Oehri, Giulia Conti, Kaviraj Pather, Alexandre Rossi, Laia Serra, Adrian Parody, Rogvi Johannesen, Aviaja Petersen, Arben Krasniqi:
Trusted Uncertainty in Large Language Models: A Unified Framework for Confidence Calibration and Risk-Controlled Refusal. - Ozan Baris Mulayim, Yuvraj Agarwal, Mario Bergés, Steve Schaefer, Mitali Shah, Derek Supple:
Semantic Technologies in Practical Demand Response: An Informational Requirement-based Roadmap. - Manuel Schmidt, Daniel A. Keim, Frederik L. Dennig:
Dissecting Atomic Facts: Visual Analytics for Improving Fact Annotations in Language Model Evaluation. - Klaus-Dieter Schewe, Flavio Ferrarotti, Peter Rivière, Neeraj Kumar Singh, Guillaume Dupont, Yamine Aït Ameur:
TREBL - A Relative Complete Temporal Event-B Logic. Part I: Theory. - Pranjay Malhotra:
LLMHoney: A Real-Time SSH Honeypot with Large Language Model-Driven Dynamic Response Generation. - Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao:
Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA. - Vanessa Sklyarova, Egor Zakharov, Malte Prinzler, Giorgio Becherini, Michael J. Black, Justus Thies:
Im2Haircut: Single-view Strand-based Hair Reconstruction for Human Avatars. - Isabella D. Lutz, A. M. Hill, Matthew C. Valenti:
Privacy-preserving authentication for military 5G networks. - Clayton Leite, Yu Xiao:
Hierarchical Motion Captioning Utilizing External Text Data Source. - Youchao Zhou, Heyan Huang, Yicheng Liu, Rui Dai, Xinglin Wang, Xingchen Zhang, Shumin Shi, Yang Deng:
Do Retrieval Augmented Language Models Know When They Don't Know? - Bernd Finkbeiner, Hadar Frenkel, Julian Siber:
An Information-Flow Perspective on Explainability Requirements: Specification and Verification. - Jingyuan Zhou, Hao Qian, Shikui Tu, Lei Xu:
Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number. - Qifeng Liu, Dawei Zhao, Yabo Dong, Liang Xiao, Juan Wang, Chen Min, Fuyang Li, Weizhong Jiang, Dongming Lu, Yiming Nie:
PointSlice: Accurate and Efficient Slice-Based Representation for 3D Object Detection from Point Clouds. - Sebastian Eilermann, René Heesch, Oliver Niggemann:
A Continuous-Time Consistency Model for 3D Point Cloud Generation. - Zhengran Zeng, Ruikai Shi, Keke Han, Yixin Li, Kaicheng Sun, Yidong Wang, Zhuohao Yu, Rui Xie, Wei Ye, Shikun Zhang:
Benchmarking and Studying the LLM-based Code Review. - Chao Deng, Xiaosen Li, Xiao Qin:
MSA2-Net: Utilizing Self-Adaptive Convolution Module to Extract Multi-Scale Information in Medical Image Segmentation. - Chengyu Song, Jianming Zheng:
Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection. - Zhe Zhou, Benjamin Delaware, Suresh Jagannathan:
Type-Based Incorrectness Reasoning. - Zhangyue Shi, Zekai Wang, Yuxuan Li:
Unsupervised Identification and Replay-based Detection (UIRD) for New Category Anomaly Detection in ECG Signal. - Andreas Ottem:
MeVe: A Modular System for Memory Verification and Effective Context Control in Language Models. - Yuan-Hao Jiang, Yijie Lu, Ling Dai, Jiatong Wang, Ruijia Li, Bo Jiang:
Agentic Workflow for Education: Concepts and Applications. - Mingzhi Dai, Weiwei Cai, Xiang Feng, Huiqun Yu, Weibin Guo, Miao Guo:
Prediction, Generation of WWTPs microbiome community structures and Clustering of WWTPs various feature attributes using DE-BP model, SiTime-GAN model and DPNG-EPMC ensemble clustering algorithm with modulation of microbial ecosystem health. - Amirreza Nayyeri, Abbas Rasoolzadegan:
A Privacy-Preserving Recommender for Filling Web Forms Using a Local Large Language Model. - Thomas Compton:
Service, Solidarity, and Self-Help: A Comparative Topic Modeling Analysis of Community Unionism in the Boot and Shoe Union and Unite Community.

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