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ORCIDCoRR, November 2025
Volume 2025-11, November 2025
- Yurun Wu, Yousong Sun, Burkhard Wunsche, Jia Wang, Elliott Wen:
VRScout: Towards Real-Time, Autonomous Testing of Virtual Reality Games. - Eric Ngondiep:
An unconditionally stable numerical approach for solving a nonlinear distributed delay Sobolev model. - Adrian-Dinu Urse, Dumitru-Clementin Cercel, Florin Pop:
Multimodal Learning with Augmentation Techniques for Natural Disaster Assessment. - Alina Chertock, Arsen S. Iskhakov, Alexander Kurganov:
Uncertainty Quantification in Forward Problems: Balancing Accuracy and Robustness Using CWENO Interpolations. - Alina Chertock, Michael Herty, Arsen S. Iskhakov, Anna Iskhakova, Alexander Kurganov, Mária Lukácová-Medvid'ová:
Numerical Study of Random Kelvin-Helmholtz Instability. - Jiajun Zhang, Jianke Zhang, Zeyu Cui, Jiaxi Yang, Lei Zhang, Binyuan Hui, Qiang Liu, Zilei Wang, Liang Wang, Junyang Lin:
PlotCraft: Pushing the Limits of LLMs for Complex and Interactive Data Visualization. - Alexander Okupnik, Johannes Schneider, Kyriakos Flouris:
Generative human motion mimicking through feature extraction in denoising diffusion settings. - Jinwoo Baek:
Matrix Phylogeny: Compact Spectral Fingerprints for Trap-Robust Preconditioner Selection. - Swapnoneel Roy, Asai Asaithambi, Debajyoti Mukhopadhyay:
Sorting by Strip Swaps is NP-Hard. - Eleonora Maggiorelli, Matteo Negri, Francesco Vicentini, Laura De Lorenzis:
Gamma convergence for a phase-field cohesive energy. - Shanshan Dong, Lu Wang, Xiangxiang Chen, Guanqing Wang:
Two-dimensional Gauss-Jacobi Quadrature for Multiscale Boltzmann Solvers. - Munawar Ali, Qi Feng:
Branched Signature Model. - Suhasnadh Reddy Veluru, Sai Teja Erukude, Viswa Chaitanya Marella:
Multimodal Detection of Fake Reviews using BERT and ResNet-50. - Julio Jerison E. Macrohon, Gordon Hung:
Deep Learning Models for Coral Bleaching Classification in Multi-Condition Underwater Image Datasets. - Jules Gerard, Leandro Di Bella, Filip Huyghe, Marc Kochzius:
Automating Coral Reef Fish Family Identification on Video Transects Using a YOLOv8-Based Deep Learning Pipeline. - Haotian Hang, Yueyang Shen, Vicky Zhu, Jose Cruz, Michelle Li:
Chitchat with AI: Understand the supply chain carbon disclosure of companies worldwide through Large Language Model. - Tadisetty Sai Yashwanth:
On the Structure of Floating-Point Noise in Batch-Invariant GPU Matrix Multiplication. - Chaitanya Shinde, Divya Garikapati:
Gen AI in Automotive: Applications, Challenges, and Opportunities with a Case study on In-Vehicle Experience. - Josu Eguiluz Castañeira, Axel Brando, Migle Laukyte, Marc Serra-Vidal:
Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All? - Hanyang Chen, Yanchao Yang:
Mutual Information guided Visual Contrastive Learning. - Samaksh Bhargav, Zining Zhu:
Feature-Guided SAE Steering for Refusal-Rate Control using Contrasting Prompts. - Myeongseob Ko, Hoang Anh Just, Charles Fleming, Ming Jin, Ruoxi Jia:
Probing Knowledge Holes in Unlearned LLMs. - Lei Liu, Zhongyi Yu, Hong Wang, Huanshuo Dong, Haiyang Xin, Hongwei Zhao, Bin Li:
From Uniform to Adaptive: General Skip-Block Mechanisms for Efficient PDE Neural Operators. - Diqi He, Xuehao Gao, Hao Li, Junwei Han, Dingwen Zhang:
STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization. - Aditya Akella:
On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning. - Georg Velev, Stefan Lessmann:
Neural Architecture Search for global multi-step Forecasting of Energy Production Time Series. - Riya Gupta, Alexander Chowdhury, Sahil S. Nalawade:
Benchmarking Federated Learning Frameworks for Medical Imaging Deployment: A Comparative Study of NVIDIA FLARE, Flower, and Owkin Substra. - Suman Raj, Radhika Mittal, Rajiv Mayani, Pawel Zuk, Anirban Mandal, Michael Zink, Yogesh Simmhan, Ewa Deelman:
AeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios. - Krishna Kumar Neelakanta Pillai Santha Kumari Amma:
Graph-Attentive MAPPO for Dynamic Retail Pricing. - Seonggyun Lee, Sungjun Lim, Seojin Park, Soeun Cheon, Kyungwoo Song:
Semi-Supervised Preference Optimization with Limited Feedback. - Yingzhao Jian, Zhongan Wang, Yi Yang, Hehe Fan:
Endowing GPT-4 with a Humanoid Body: Building the Bridge Between Off-the-Shelf VLMs and the Physical World. - Sreeja Singh, Tamal Ghosh:
Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making. - Tyrus Whitman, Andrew Particka, Christopher Diers, Ian Griffin, Charuka D. Wickramasinghe, Pradeep K. Ranaweera:
Physics-Informed Neural Network Frameworks for the Analysis of Engineering and Biological Dynamical Systems Governed by Ordinary Differential Equations. - Kohei Tsuchiyama, André Röhm, Takatomo Mihana, Ryoichi Horisaki:
ReLaX-Net: Reusing Layers for Parameter-Efficient Physical Neural Networks. - Rupjyoti Chutia, Dibya Jyoti Bora:
Enhancing rice leaf images: An overview of image denoising techniques. - Omkar Kulkarni, Rohitash Chandra:
DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection. - Martin Bicher, Maximilian Viehauser, Daniele Giannandrea, Hannah Kastinger, Dominik Brunmeir, Claire Rippinger, Christoph Urach, Niki Popper:
GEPOC Parameters - Open Source Parametrisation and Validation for Austria, Version 2.0. - Yao Liu:
Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting. - Dhananjaya Gowda, Seoha Song, Junhyun Lee, Harshith Goka:
FLoRA: Fused forward-backward adapters for parameter efficient fine-tuning and reducing inference-time latencies of LLMs. - Da Chang, Peng Xue, Yu Li, Yongxiang Liu, Pengxiang Xu, Shixun Zhang:
Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT. - Federico Formica, Stefano Gregis, Aurora Francesca Zanenga, Andrea Rota, Mark Lawford, Claudio Menghi:
Feature-Guided Analysis of Neural Networks: A Replication Study. - Hao Wang, Licheng Pan, Yuan Lu, Zhichao Chen, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin:
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models. - Gio Huh, Dhruv Sheth, Rayhan Zirvi, Frank Xiao:
SpatialTraceGen: High-Fidelity Traces for Efficient VLM Spatial Reasoning Distillation. - Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer, Leon Klug, Valentin Kozlov, Lisana Berberi, Mishal Benz, Rebekka Volk, Juan Pedro Gutiérrez H. Muriedas, Markus Götz, Judith Sáinz-Pardo Díaz, Álvaro López García, Frank Schultmann, Achim Streit:
Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches. - Yuxi Liu, Renjia Deng, Yutong He, Xue Wang, Tao Yao, Kun Yuan:
MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling. - Paul Alexander Bilokon:
Computation as a Game. - Aditya Singh, Zihang Wen, Srujananjali Medicherla, Adam Karvonen, Can Rager:
Automatically Finding Rule-Based Neurons in OthelloGPT. - Zhiqi Qi, Runxin Zhao, Hanyang Zhuang, Chunxiang Wang, Ming Yang:
Which LiDAR scanning pattern is better for roadside perception: Repetitive or Non-repetitive? - Stephen Alaba John, Joye Ahmed Shonubi, Patience Farida Azuikpe, Victor Oluwatosin Ologun:
Adoption of AI-Driven Fraud Detection System in the Nigerian Banking Sector: An Analysis of Cost, Compliance, and Competency. - Arslan Ali, Junjie Bai, Maciej Bala, Yogesh Balaji, Aaron Blakeman, Tiffany Cai, Jiaxin Cao, Tianshi Cao, Elizabeth Cha, Yu-Wei Chao, Prithvijit Chattopadhyay, Mike Chen, Yongxin Chen, Yu Chen, Shuai Cheng, Yin Cui, Jenna Diamond, Yifan Ding, Jiaojiao Fan, Linxi Fan, Liang Feng, Francesco Ferroni, Sanja Fidler, Xiao Fu, Ruiyuan Gao, Yunhao Ge, Jinwei Gu, Aryaman Gupta, Siddharth Gururani, Imad El Hanafi, Ali Hassani, Zekun Hao, Jacob Huffman, Joel Jang, Pooya Jannaty, Jan Kautz, Grace Lam, Xuan Li, Zhaoshuo Li, Maosheng Liao, Chen-Hsuan Lin, Tsung-Yi Lin, Yen-Chen Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Yifan Lu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Seungjun Nah, Yashraj Narang, Abhijeet Panaskar, Lindsey Pavao, Trung Pham, Morteza Ramezanali, Fitsum Reda, Scott Reed, Xuanchi Ren, Haonan Shao, Yue Shen, Stella Shi, Shuran Song, Bartosz Stefaniak, Shangkun Sun, Shitao Tang, Sameena Tasmeen, Lyne Tchapmi, Wei-Cheng Tseng, Jibin Varghese, Andrew Z. Wang, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Jiashu Xu, Dinghao Yang, Xiaodong Yang, Haotian Ye, Seonghyeon Ye, Xiaohui Zeng, Jing Zhang, Qinsheng Zhang, Kaiwen Zheng, Andrew Zhu, Yuke Zhu:
World Simulation with Video Foundation Models for Physical AI. - Randolph Wiredu-Aidoo:
EVINGCA: Adaptive Graph Clustering with Evolving Neighborhood Statistics. - Kateryna Shapovalenko, Quentin Auster:
Aligning Brain Signals with Multimodal Speech and Vision Embeddings. - Tue Le, Nghi D. Q. Bui, Linh Ngo Van, Trung Le:
Token-Regulated Group Relative Policy Optimization for Stable Reinforcement Learning in Large Language Models. - Zhixing Li, Arsham Gholamzadeh Khoee, Yinan Yu:
Latent Domain Prompt Learning for Vision-Language Models. - Muhammad Bilal Awan, Abdul Razzaq, Abdul Shahid:
Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design. - Ertugrul Mutlu
:
Wavelet-Based Feature Extraction and Unsupervised Clustering for Parity Detection: A Feature Engineering Perspective. - M. Pradeep, Ritesh Pallod, Satyen Abrol, Muthu Raman, Ian Anderson:
LookSync: Large-Scale Visual Product Search System for AI-Generated Fashion Looks. - Harald Kristen, Daniel Kulmer, Manuela Hirschmugl:
Habitat and Land Cover Change Detection in Alpine Protected Areas: A Comparison of AI Architectures. - Richard Osuagwu, Thomas Cook, Maraim Masoud, Koustav Ghosal, Riccardo Mattivi:
ScaleCall - Agentic Tool Calling at Scale for Fintech: Challenges, Methods, and Deployment Insights. - Qianhui Li, Weiya Wang, Qianqi Zhao, Tong Qu, Jing He, Xuhong Qiang, Jingwen Hou, Ke Chen, Bao Zhang, Qi Wang:
PDA-LSTM: Knowledge-driven page data arrangement based on LSTM for LCM supression in QLC 3D NAND flash memories. - Zihao Wan, Pau Tong Lin Xu, Fuwen Luo, Ziyue Wang, Peng Li, Yang Liu:
Bridging Vision, Language, and Mathematics: Pictographic Character Reconstruction with Bézier Curves. - Jannatul Shefa, Taylan G. Topcu:
What is the Return on Investment of Digital Engineering for Complex Systems Development? Findings from a Mixed-Methods Study on the Post-production Design Change Process of Navy Assets. - Chen-Wei Chang, Yu-Chieh Cheng, Yun-En Tsai, Fanglan Chen, Chang-Tien Lu:
RailEstate: An Interactive System for Metro Linked Property Trends. - Maximilian Willer, Peter Ruckdeschel:
flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R. - Masfiqur Rahaman, Maoyejatun Hasana, Shahad Shahriar Rahman, Md Sajid Mostafiz Noor, Razin Reaz Abedin, Md Toki Tahmid, Duncan Watson-Parris, Tanzeem Choudhury, A. B. M. Alim Al Islam, Tauhidur Rahman:
Forecasting Occupational Survivability of Rickshaw Pullers in a Changing Climate with Wearable Data. - Md. Shakib Khan, A. Ben Hamza, Amr M. Youssef:
Fixed-point graph convolutional networks against adversarial attacks. - Jolanta Sliwa:
Application of predictive machine learning in pen & paper RPG game design. - Peilin Tan, Chuanqi Shi, Dian Tu, Liang Xie:
MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning. - Fali Wang, Jihai Chen, Shuhua Yang, Runxue Bao, Tianxiang Zhao, Zhiwei Zhang, Xianfeng Tang, Hui Liu, Qi He, Suhang Wang:
Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph. - Anshu Dubey, Akash Dhruv:
Adding New Capability in Existing Scientific Application with LLM Assistance. - NVIDIA:
Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail. - Huanlin Gao, Ping Chen, Fuyuan Shi, Chao Tan, Zhaoxiang Liu, Fang Zhao, Kai Wang, Shiguo Lian:
LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation. - Wenli Xiao, Haotian Lin, Andy Peng, Haoru Xue, Tairan He, Yuqi Xie, Fengyuan Hu, Jimmy Wu, Zhengyi Luo, Linxi Jim Fan, Guanya Shi, Yuke Zhu:
Self-Improving Vision-Language-Action Models with Data Generation via Residual RL. - Shunya Minami, Tatsuya Ishigaki, Ikko Hamamura, Taku Mikuriya, Youmi Ma, Naoaki Okazaki, Hiroya Takamura, Yohichi Suzuki, Tadashi Kadowaki:
QuantumBench: A Benchmark for Quantum Problem Solving. - Angelos Alexopoulos, Agorakis Bompotas, Nikitas-Rigas Kalogeropoulos, Panagiotis S. Kechagias, Athanasios P. Kalogeras, Christos Alexakos:
Digital Twin based Automatic Reconfiguration of Robotic Systems in Smart Environments. - Jiaming Liu, Dingwei Fan, Junyong Zhao, Chunlin Li, Haipeng Si, Liang Sun:
SpinalSAM-R1: A Vision-Language Multimodal Interactive System for Spine CT Segmentation. - Shangyu Lou:
Urban-MAS: Human-Centered Urban Prediction with LLM-Based Multi-Agent System. - Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, Huiping Zhuang, Xingcheng Fu, Jianxin Li:
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation. - Nils Porsche, Flurin Müller-Diesing, Sweta Banerjee, Miguel Goncalves, Marc Aubreville:
A filtering scheme for confocal laser endomicroscopy (CLE)-video sequences for self-supervised learning. - Marios Impraimakis, Evangelia Nektaria Palkanoglou:
A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitoring benchmark validation. - Marios Impraimakis:
Deep recurrent-convolutional neural network learning and physics Kalman filtering comparison in dynamic load identification. - Yuchen Zhang, Hanyue Du, Chun Cao, Jingwei Xu:
Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving. - Vivan Doshi:
Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers. - Rotem Ezra, Hedi Zisling, Nimrod Berman, Ilan Naiman, Alexey Gorkor, Liran Nochumsohn, Eliya Nachmani, Omri Azencot:
FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and Video. - Majid Memari, Krista Ruggles:
Artificial Intelligence in Elementary STEM Education: A Systematic Review of Current Applications and Future Challenges. - Anuj Gupta, Ann Shivers McNair:
Wayfinding through the AI wilderness: Mapping rhetorics of ChatGPT prompt writing on X (formerly Twitter) to promote critical AI literacies. - Piyushkumar Patel:
AI Powered High Quality Text to Video Generation with Enhanced Temporal Consistency. - Yi Zhang, Che Liu, Xiancong Ren, Hanchu Ni, Shuai Zhang, Zeyuan Ding, Jiayu Hu, Hanzhe Shan, Zhenwei Niu, Zhaoyang Liu, Yue Zhao, Junbo Qi, Qinfan Zhang, Dengjie Li, Yidong Wang, Jiachen Luo, Yong Dai, Jian Tang, Xiaozhu Ju:
Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence. - YingQiao Wang, Eric J. Bigelow, Boyi Li, Tomer D. Ullman:
Chain of Time: In-Context Physical Simulation with Image Generation Models. - Abel C. H. Chen:
A Comparative Study of Hybrid Post-Quantum Cryptographic X.509 Certificate Schemes. - Yanbing Mao, Yihao Cai, Lui Sha:
Real-DRL: Teach and Learn in Reality. - Hüseyin Göksu:
MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials. - Hanae Elmekki, Amanda Spilkin, Ehsan Zakeri, Antonela Mariel Zanuttini, Ahmed Alagha, Hani Sami, Jamal Bentahar, Lyes Kadem, Wen-Fang Xie, Philippe Pibarot, Rabeb Mizouni, Hadi Otrok, Azzam Mourad, Sami Muhaidat:
End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning. - Haoyuan Li, Yuanbo Tong, Yuchen Li, Zirui Wang, Chunhou Liu, Jiamou Liu:
Cognitive Alignment in Personality Reasoning: Leveraging Prototype Theory for MBTI Inference. - Avisek Naug, Antonio Guillen, Vineet Kumar, Scott Greenwood, Wesley Brewer, Sahand Ghorbanpour, Ashwin Ramesh Babu, Vineet Gundecha, Ricardo Luna Gutierrez, Soumyendu Sarkar:
LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers. - Antonio Guillen-Perez, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Munther Salim, Shubhanker Banerjee, Eoin H. Oude Essink, Damien Fay, Soumyendu Sarkar:
DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads. - Stanislav Selitskiy:
Real-time and Zero-footprint Bag of Synthetic Syllables Algorithm for E-mail Spam Detection Using Subject Line and Short Text Fields. - Md Selim Sarowar, Sungho Kim:
VLM6D: VLM based 6Dof Pose Estimation based on RGB-D Images. - Shoma Yagi, Jun Ichikawa, Genki Ichinose:
Analysis of Line Break prediction models for detecting defensive breakthrough in football. - Ran Xu, Yupeng Qi, Jingsen Feng, Xu Chu:
Engineering.ai: A Platform for Teams of AI Engineers in Computational Design. - Gaby Maroun, Salah Eddine Bekhouche, Fadi Dornaika:
Integrating ConvNeXt and Vision Transformers for Enhancing Facial Age Estimation. - Sai Niranjan Ramachandran, Manish Krishan Lal, Suvrit Sra:
Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models. - Álvaro F. Silva, Alexandra Mendes, Ruben Martins:
Inferring multiple helper Dafny assertions with LLMs. - Lu Bowen:
Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features. - Siyu Xiao, Xindi Zhao, Tianhao Mao, Yiwei Wang, Yuqiao Chen, Hongyun Zhang, Jian Wang, Junjie Wang, Shuang Liu, Tupei Chen, Yang Liu:
Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells. - Bernd Bohnet, Rumen Dangovski, Kevin Swersky, Sherry Moore, Arslan Chaudhry, Kathleen Kenealy, Noah Fiedel:
A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios. - Kowshik Balasubramanian, Andre Williams, Ismail Butun:
Feature Importance Guided Random Forest Learning with Simulated Annealing Based Hyperparameter Tuning. - Angana Borah, Adrija Datta, Ashish S. Kumar, Raviraj Dave, Udit Bhatia:
Physiologically Active Vegetation Reverses Its Cooling Effect in Humid Urban Climates. - Qing Guo, Xinhang Li, Junyu Chen, Zheng Guo, Xiaocong Li, Lin Zhang, Lei Li:
A Dual Large Language Models Architecture with Herald Guided Prompts for Parallel Fine Grained Traffic Signal Control. - Yu Cui, Yujian Zhang, Lina Tao, Yang Li, Xinyu Yi, Zhibin Li:
End-to-End Dexterous Arm-Hand VLA Policies via Shared Autonomy: VR Teleoperation Augmented by Autonomous Hand VLA Policy for Efficient Data Collection. - Tahmid Hasan Sakib, Yago Romano Martinez, Brady Carter, Syed Rafay Hasan, Terry N. Guo:
Supply Chain Exploitation of Secure ROS 2 Systems: A Proof-of-Concept on Autonomous Platform Compromise via Keystore Exfiltration. - Janghoon Cho, Jungsoo Lee, Munawar Hayat, Kyuwoong Hwang, Fatih Porikli, Sungha Choi:
FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding. - Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong:
BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing. - Justin Yu, Yide Shentu, Di Wu, Pieter Abbeel, Ken Goldberg, Philipp Wu:
EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations. - Katherine A. Rosenfeld, Cliff C. Kerr, Jessica Lundin:
What a diff makes: automating code migration with large language models. - Michael D. Moffitt:
ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus. - Shiman Zhang, Jinghan Zhou, Zhoufan Yu, Ningai Leng:
Study on Supply Chain Finance Decision-Making Model and Enterprise Economic Performance Prediction Based on Deep Reinforcement Learning. - Rahul Ghosh, Baishali Chaudhury, Hari Prasanna Das, Meghana Ashok, Ryan Razkenari, Sungmin Hong, Chun-Hao Liu:
CompAgent: An Agentic Framework for Visual Compliance Verification. - Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher:
Effectiveness of LLMs in Temporal User Profiling for Recommendation. - Hiba Ahsan, Byron C. Wallace:
Can SAEs reveal and mitigate racial biases of LLMs in healthcare? - Nicky Pochinkov, Yulia Volkova, Anna Vasileva, Sai V. R. Chereddy:
ParaScopes: What do Language Models Activations Encode About Future Text? - Mengfei Liang, Yiting Qu, Yukun Jiang, Michael Backes, Yang Zhang:
From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection. - Shaghayegh Fazliani, Madeleine Udell:
PDE-SHARP: PDE Solver Hybrids through Analysis and Refinement Passes. - Sami Davies, Venkatesan Guruswami, Xuandi Ren:
Scheduling Problems with Constrained Rejections. - Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo:
A Retrospect to Multi-prompt Learning across Vision and Language. - Ali Satvaty, Suzan Verberne, Fatih Turkmen:
EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs. - Faranak Akbarifar, Nooshin Maghsoodi, Sean P. Dukelow, Stephen H. Scott, Parvin Mousavi:
Reducing Robotic Upper-Limb Assessment Time While Maintaining Precision: A Time Series Foundation Model Approach. - Jovial Cheukam-Ngouonou, Ramiz Gindullin, Claude-Guy Quimper, Nicolas Beldiceanu, Rémi Douence:
Incremental Selection of Most-Filtering Conjectures and Proofs of the Selected Conjectures. - Shengqian Wang, Israt Jahan Jui, Julie Thorpe:
Is Crowdsourcing a Puppet Show? Detecting a New Type of Fraud in Online Platforms. - Leonardo Alberro, Noura Limam, Raouf Boutaba:
Towards Sub-millisecond Latency and Guaranteed Bit Rates in 5G User Plane. - Oorja Majgaonkar, Zhiwei Fei, Xiang Li, Federica Sarro, He Ye:
Understanding Code Agent Behaviour: An Empirical Study of Success and Failure Trajectories. - Chun-Hao Yang, Bo-Han Feng, Tzu-Yuan Lai, Yan Yu Chen, Yin-Kai Dean Huang, Shou-De Lin:
Training LLMs Beyond Next Token Prediction - Filling the Mutual Information Gap. - Jacqueline Mitchell, Yasser Shaaban:
Position: Vibe Coding Needs Vibe Reasoning: Improving Vibe Coding with Formal Verification. - David Lüdke, Tom Wollschläger, Paul Ungermann, Stephan Günnemann, Leo Schwinn:
Diffusion LLMs are Natural Adversaries for any LLM. - Yuhan Deng, Akshay Srivatsan, Sebastian Ingino, Francis Chua, Yasmine Mitchell, Matthew Vilaysack, Keith Winstein:
Fix: externalizing network I/O in serverless computing. - Dirk U. Wulff, Rui Mata:
Advancing Cognitive Science with LLMs. - Di Hu, Xi Lu, Yunan Chen, Michelle Keller, An T. Nguyen, Vu Le, Tsung-Ting Kuo, Lucila Ohno-Machado, Kai Zheng:
Supporting Patients in Managing Electronic Health Records and Biospecimens Consent for Research: Insights from a Mixed-Methods Usability Evaluation of the iAGREE Portal. - Yiquan Wang, Yahui Ma, Yuhan Chang, Jiayao Yan, Jialin Zhang, Minnuo Cai, Kai Wei:
Diffusion Models at the Drug Discovery Frontier: A Review on Generating Small Molecules versus Therapeutic Peptides. - Emilio Ancillotti, Loreto Pescosolido, Andrea Passarella:
Toward Hybrid COTS-based LiFi/WiFi Networks with QoS Requirements in Mobile Environments. - Wenxuan Zhang, Peng Hu:
An Efficient and Generalizable Transfer Learning Method for Weather Condition Detection on Ground Terminals. - Xiaomeng Xu, Zahin Wahab, Reid Holmes, Caroline Lemieux:
DocPrism: Local Categorization and External Filtering to Identify Relevant Code-Documentation Inconsistencies. - Rajatsubhra Chakraborty, Ana Espinosa-Momox, Riley Haskin, Depeng Xu, Rosario Porras-Aguilar:
DM-QPMNET: Dual-modality fusion network for cell segmentation in quantitative phase microscopy. - Pouya M. Ghari, Simone Sciabola, Ye Wang:
Iterative Foundation Model Fine-Tuning on Multiple Rewards. - Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques:
Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning. - Mohamed Barakat, Diane Guignard:
Convergence analysis for a tree-based nonlinear reduced basis method. - Sheer Karny, Anthony Baez, Pat Pataranutaporn:
Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI. - Fuming Yang, Yicong Li, Hanspeter Pfister, Jeff W. Lichtman, Yaron Meirovitch:
Towards 1000-fold Electron Microscopy Image Compression for Connectomics via VQ-VAE with Transformer Prior. - Rayehe Karimi Mahabadi, Jianfeng Lu, Hossein Salahshoor:
Approximating Young Measures With Deep Neural Networks. - Oisin O. Sullivan, Colin Flanagan, Eoin O'Connell:
Identifying Linux Kernel Instability Due to Poor RCU Synchronization. - Arne Burdack, Maximilian Stargardt, Christoph Winkler, Konrad Klein, Detlef Stolten, Jochen Linßen, Heidi Heinrichs:
Which Top Energy-Intensive Manufacturing Countries Can Compete in a Renewable Energy Future? - Yan Bin Ng, Xianfeng Gu:
Hyperbolic Optimal Transport. - Iain Smears:
An introduction to the a posteriori error analysis of parabolic partial differential equations. - Wadduwage Shanika Perera, ABM Rezbaul Islam, Vung V. Pham, Min Kyung An:
Melanoma Classification Through Deep Ensemble Learning and Explainable AI. - Shurui Gui, Deep Anil Patel, Xiner Li, Martin Renqiang Min:
Object-Aware 4D Human Motion Generation. - Sushil Khairnar:
Application of Blockchain Frameworks for Decentralized Identity and Access Management of IoT Devices. - Felix Bartel, Pascal Schröter:
Learning and Leveraging Anisotropy Parameters in ANOVA Approximation. - Aaron Sun, Subhransu Maji, Grant Van Horn:
Merlin L48 Spectrogram Dataset. - Chandra Chekuri, Guyslain Naves, Joseph Poremba, F. Bruce Shepherd:
Uncrossed Multiflows and Applications to Disjoint Paths. - Fangxun Liu, S. M. Rayeed, Samuel Stevens, Alyson East, Cheng Hsuan Chiang, Colin Lee, Daniel Yi, Junke Yang, Tejas Naik, Ziyi Wang, Connor Kilrain, Elijah H. Buckwalter, Jiacheng Hou, Saul Ibaven Bueno, Shuheng Wang, Xinyue Ma, Yifan Liu, Zhiyuan Tao, Ziheng Zhang, Eric R. Sokol, Michael Belitz, Sydne Record, Charles V. Stewart, Wei-Lun Chao:
BeetleFlow: An Integrative Deep Learning Pipeline for Beetle Image Processing. - Zachary Chase, Shinji Ito, Idan Mehalel:
A Tight Lower Bound for Non-stochastic Multi-armed Bandits with Expert Advice. - Andria J. Farrens, Luis Garcia-Fernandez, Raymond Rojas, Jillian Obeso Estrada, Dylan S. Reinsdorf, Vicky Chan, Disha Gupta, Joel C. Perry, Eric T. Wolbrecht, An Do, Steven C. Cramer, David J. Reinkensmeyer:
Tailored robotic training improves hand function and proprioceptive processing in stroke survivors with proprioceptive deficits: A randomized controlled trial. - Linzhe Jiang, Jiayuan Huang, Sophia Bano, Matthew J. Clarkson, Zhehua Mao, Mobarak I. Hoque:
MambaNetLK: Enhancing Colonoscopy Point Cloud Registration with Mamba. - Neha Balamurugan, Sarah Wu, Adam Chun, Gabe Gaw, Cristóbal Eyzaguirre, Tobias Gerstenberg:
Spot The Ball: A Benchmark for Visual Social Inference. - Romina Etezadi, Sallam Abualhaija, Chetan Arora, Lionel C. Briand:
LLM-Driven Cost-Effective Requirements Change Impact Analysis. - Jinyuan Chen:
COOL Is Optimal in Error-Free Asynchronous Byzantine Agreement. - Arman Anwar, Zefang Liu:
AgentBnB: A Browser-Based Cybersecurity Tabletop Exercise with Large Language Model Support and Retrieval-Aligned Scaffolding. - Aanchal Rajesh Chugh, Marion Neumeier, Sebastian Dorn:
X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction. - Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone, Zachary Folcik, J. Daniel Griffith, Michael Houle, Jonathan P. How, Nathan Hughes, Ifueko Igbinedion, Hayden Jananthan, Tejas Jayashankar, Michael Jones, Sertac Karaman, Binoy G. Kurien, Alejandro Lancho, Giovanni Lavezzi, Gary C. F. Lee, Charles E. Leiserson, Richard Linares, Lindsey McEvoy, Peter Michaleas, Chasen Milner, Alex Pentland, Yury Polyanskiy, Jovan Popovich, Jeffrey Price, Tim W. Reid, Stephanie Riley, Siddharth Samsi, Peter Saunders, Olga Simek, Mark S. Veillette, Amir Weiss, Gregory W. Wornell, Daniela Rus, Scott T. Ruppel:
Advancing AI Challenges for the United States Department of the Air Force. - Shounak Paul, Dhananjay Ghumare, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi:
IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval. - Long Li, Jiajia Li, Dong Chen, Lina Pu, Haibo Yao, Yanbo Huang:
FedReplay: A Feature Replay Assisted Federated Transfer Learning Framework for Efficient and Privacy-Preserving Smart Agriculture. - Abhinav Joshi, Vaibhav Sharma, Sanjeet Singh, Ashutosh Modi:
POSESTITCH-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translation. - Saadat Izadi, Shakib Komasi, Ali Salimi, Alireza Rezaei, Mahmood Ahmadi:
Mist-Assisted Federated Learning for Intrusion Detection in Heterogeneous IoT Networks. - Michiel Straat, Thorben Markmann, Sebastian Peitz, Barbara Hammer:
Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning. - Sander de Jong, Jane Hsieh, Tzu-Sheng Kuo, Rune Møberg Jacobsen, Niels van Berkel, Haiyi Zhu:
Understanding, Demystifying and Challenging Perceptions of Gig Worker Vulnerabilities. - Mohammad Hadi Akbarzadeh, Mahmood Ahmadi, Mohammad Saeed Jahangiry, Jae Young Hur:
Reinforcement Learning for Resource Allocation in Vehicular Multi-Fog Computing. - Meituan LongCat Team:
LongCat-Flash-Omni Technical Report. - Abhinav Joshi, Areeb Ahmad, Ashutosh Modi:
Calibration Across Layers: Understanding Calibration Evolution in LLMs. - You-Jin Kim, Radha Kumaran, Ehsan Sayyad, Anne E. Milner, Tom Bullock, Barry Giesbrecht, Tobias Höllerer:
Investigating Search Among Physical and Virtual Objects Under Different Lighting Conditions. - Ashwin Gerard Colaco, Sharad Mehrotra, Michael J. De Lucia, Kevin W. Hamlen, Murat Kantarcioglu, Latifur Khan, Ananthram Swami, Bhavani Thuraisingham:
NOMAD - Navigating Optimal Model Application to Datastreams. - Christos N. Mavridis, Fernando S. Barbosa, Hamed Farhadi, Karl Henrik Johansson:
Learning a Network Digital Twin as a Hybrid System. - Michal Habera, Andreas Zilian:
Numerically stable evaluation of closed-form expressions for eigenvalues of 3 ⨉ 3 matrices. - Hengjia Li, Jianjin Xu, Keli Cheng, Lei Wang, Ning Bi, Boxi Wu, Fernando De la Torre, Deng Cai:
Multi-View Consistent Human Image Customization via In-Context Learning. - Lucas Almeida, Maycon Peixoto:
Tetris: An SLA-aware Application Placement Strategy in the Edge-Cloud Continuum. - Kosmas Alexandridis, Giorgos Dimitrakopoulos:
H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention. - Peng Wang, Zhengmao Li, Luis Badesa:
Analyzing the Impact of Demand Response on Short-Circuit Current via a Unit Commitment Model. - Linhan Fang, Xingpeng Li:
Optimal BESS Sizing and Placement for Mitigating EV-Induced Voltage Violations: A Scalable Spatio-Temporal Adaptive Targeting Strategy. - Ciaran Bench, Oskar Pfeffer, Vivek Desai, Mohammad Moulaeifard, Loic Coquelin, Peter H. Charlton, Nils Strodthoff, Nando Hegemann, Philip J. Aston, Andrew Thompson:
A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis. - Baoshan Song, Ruijie Xu, Li-Ta Hsu:
FGO MythBusters: Explaining how Kalman Filter variants achieve the same performance as FGO in navigation applications. - Lee Xiong, Maksim Tkachenko, Johanes Effendi, Ting Cai:
Language Modeling With Factorization Memory. - Khakim Akhunov, Eren Yildiz, Kasim Sinan Yildirim:
PEARL: Power- and Energy-Aware Multicore Intermittent Computing. - Dana Kim, Yichen Xu, Tiffany Lin:
A Technical Exploration of Causal Inference with Hybrid LLM Synthetic Data. - Leonel Corado, Sérgio Godinho, Carlos Alberto Silva, Juan Guerra-Hernández, Francesco Valerio, Teresa Gonçalves, Pedro D. Salgueiro:
GEDICorrect: A Scalable Python Tool for Orbit-, Beam-, and Footprint-Level GEDI Geolocation Correction. - Dowon Kim, MinJae Lee, Janghyeon Kim, Hyucksung Kwon, Hyeonggyu Jeong, Sang-Soo Park, Minyong Yoon, Si-Dong Roh, Yongsuk Kwon, Jinin So, Jungwook Choi:
Scalable Processing-Near-Memory for 1M-Token LLM Inference: CXL-Enabled KV-Cache Management Beyond GPU Limits. - Isai Daniel Chacón, Paola Ruiz Puentes, Jillian Pearse, Pablo Arbeláez:
Towards Automated Petrography. - Masoud Makrehchi:
When Small Acts Scale: Ethical Thresholds in Network Diffusion. - Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse:
Sherlock: Reliable and Efficient Agentic Workflow Execution. - Weidong Zhang, Pak Lun Kevin Ding, Huan Liu:
Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models. - Siva Sai, Manish Prasad, Animesh Bhargava, Vinay Chamola, Rajkumar Buyya:
Split Learning-Enabled Framework for Secure and Light-weight Internet of Medical Things Systems. - Adil Rasheed, Oscar Ravik, Omer San:
Large Language Models for Control. - Yuhao Fang, Zijian Wang, Yao Lu, Ye Zhang, Chun Li:
A DeepONet joint Neural Tangent Kernel Hybrid Framework for Physics-Informed Inverse Source Problems and Robust Image Reconstruction. - Xinran Zheng, Leonardo Massai, Massimo Franceschetti, Behrouz Touri:
U-centrality: A Network Centrality Measure Based on Minimum Energy Control for Laplacian Dynamics. - Manan Roy Choudhury, Adithya Chandramouli, Mannan Anand, Vivek Gupta:
Better Call CLAUSE: A Discrepancy Benchmark for Auditing LLMs Legal Reasoning Capabilities. - Mihir Sahasrabudhe:
Reversal Invariance in Autoregressive Language Models. - Hendrio Bragança, Diego Kreutz, Vanderson Rocha, Joner Assolin, Eduardo Feitosa:
MH-1M: A 1.34 Million-Sample Comprehensive Multi-Feature Android Malware Dataset for Machine Learning, Deep Learning, Large Language Models, and Threat Intelligence Research. - Changbing Yang, Franklin Ma, Freda Shi, Jian Zhu:
LingGym: How Far Are LLMs from Thinking Like Field Linguists? - Xihang Qiu, Jiarong Cheng, Yuhao Fang, Wanpeng Zhang, Yao Lu, Ye Zhang, Chun Li:
Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities. - Amir Ziashahabi, Narges Ghasemi, Sajjad Shahabi, John Krumm, Salman Avestimehr, Cyrus Shahabi:
OSMGen: Highly Controllable Satellite Image Synthesis using OpenStreetMap Data. - Kayuã Oleques Paim, Rodrigo Brandão Mansilha, Diego Kreutz, Muriel Figueredo Franco, Weverton Cordeiro:
Exploiting Latent Space Discontinuities for Building Universal LLM Jailbreaks and Data Extraction Attacks. - Michael P. Hasselbeck:
Ultralow-power standoff acoustic leak detection. - Amir Ziashahabi, Yavuz Faruk Bakman, Duygu Nur Yaldiz, Mostafa El-Khamy, Sai Praneeth Karimireddy, Salman Avestimehr:
Reject Only Critical Tokens: Pivot-Aware Speculative Decoding. - Mohd Ruhul Ameen, Akif Islam:
Detecting AI-Generated Images via Diffusion Snap-Back Reconstruction: A Forensic Approach. - Niklas Wölki, Lukas Kondmann, Christian Mollière, Martin Langer, Julia Gottfriedsen, Martin Werner:
Transfer Learning for Onboard Cloud Segmentation in Thermal Earth Observation: From Landsat to a CubeSat Constellation. - Zhecheng Sheng, Jiawei Zhang, Enmao Diao:
Toward Unifying Group Fairness Evaluation from a Sparsity Perspective. - Adrita Rahman Tory, Khondokar Fida Hasan, Md Saifur Rahman, Nickolaos Koroniotis, Mohammad Ali Moni:
Mind the Gap: Missing Cyber Threat Coverage in NIDS Datasets for the Energy Sector. - Kayuã Oleques Paim, Angelo Gaspar Diniz Nogueira, Diego Kreutz, Weverton Cordeiro, Rodrigo Brandão Mansilha:
MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detection. - Momen Khandoker Ope, Akif Islam, Mohd Ruhul Ameen, Abu Saleh Musa Miah, Md. Rashedul Islam, Jungpil Shin:
Oitijjo-3D: Generative AI Framework for Rapid 3D Heritage Reconstruction from Street View Imagery. - Yicheng Liu, Rafail Ostrovsky, Scott Shenker, Sam Kumar:
Fast Networks for High-Performance Distributed Trust. - Hao Gu, Tianjiao Wang, Xiang Xu, Yue Zhao:
A computational inverse random source problem for elastic waves. - Farjana Aktar, Mohd Ruhul Ameen, Akif Islam, Md. Ekramul Hamid:
Balancing Interpretability and Performance in Motor Imagery EEG Classification: A Comparative Study of ANFIS-FBCSP-PSO and EEGNet. - Chaochen Wu, Guan Luo, Meiyun Zuo, Zhitao Fan:
Who Can We Trust? Scope-Aware Video Moment Retrieval with Multi-Agent Conflict. - Erfan Al-Hossami, Razvan C. Bunescu:
Reasoning Trajectories for Socratic Debugging of Student Code: From Misconceptions to Contradictions and Updated Beliefs. - Xin Wang, Yunhao Xiao, Rui Qiao:
PolyRecommender: A Multimodal Recommendation System for Polymer Discovery. - Xiaoling Han, Bin Lin, Nan Wu, Ping Wang, Zhenyu Na, Miyuan Zhang:
Design of a Turbo-based Deep Semantic Autoencoder for Marine Internet of Things. - Jiahao Wang, Songkai Xue, Jinghui Li, Xiaozhen Wang:
Diverse Human Value Alignment for Large Language Models via Ethical Reasoning. - Jiaming Li, Junlei Wu, Sheng Wang, Honglin Xiong, Jiangdong Cai, Zihao Zhao, Yitao Zhu, Yuan Yin, Dinggang Shen, Qian Wang:
VisionCAD: An Integration-Free Radiology Copilot Framework. - Mina Taraghi, Yann Pequignot, Amin Nikanjam, Mohamed Amine Merzouk, Foutse Khomh:
Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs. - Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, Terry Guo, Nigam Shah, Curtis P. Langlotz, Andrew Y. Ng, Jeanne Shen:
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology. - Xiaoling Han, Bin Lin, Zhenyu Na, Bowen Li, Chaoyue Zhang, Ran Zhang:
Spatial Crowdsourcing-based Task Allocation for UAV-assisted Maritime Data Collection. - Fan Zhang, Haoxuan Li, Shengju Qian, Xin Wang, Zheng Lian, Hao Wu, Zhihong Zhu, Yuan Gao, Qiankun Li, Yefeng Zheng, Zhouchen Lin, Pheng-Ann Heng:
Rethinking Facial Expression Recognition in the Era of Multimodal Large Language Models: Benchmark, Datasets, and Beyond. - Wanyun Zhou, Saizhuo Wang, Mihai Cucuringu, Zihao Zhang, Xiang Li, Jian Guo, Chao Zhang, Xiaowen Chu:
DeltaLag: Learning Dynamic Lead-Lag Patterns in Financial Markets. - Xuanle Zhao, Deyang Jiang, Zhixiong Zeng, Lei Chen, Haibo Qiu, Jing Huang, Yufeng Zhong, Liming Zheng, Yilin Cao, Lin Ma:
VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning. - Lingpeng Chen, Jiakun Tang, Apple Pui Yi Chui, Ziyang Hong, Junfeng Wu:
SonarSweep: Fusing Sonar and Vision for Robust 3D Reconstruction via Plane Sweeping. - Long Li, Shuichen Ji, Ziyang Luo, Nian Liu, Dingwen Zhang, Junwei Han:
CoT-Saliency: Unified Chain-of-Thought Reasoning for Heterogeneous Saliency Tasks. - Mohammad Shirzadi, Emilio Cruciani, Ahad N. Zehmakan:
Opinion Dynamics: A Comprehensive Overview. - Lucky Onyekwelu-Udoka, Md Shafiqul Islam, Md Shahedul Hasan:
Emotion Detection in Speech Using Lightweight and Transformer-Based Models: A Comparative and Ablation Study. - Wentao Peng, Ruyi Ji, Yingfei Xiong:
Equality Saturation Guided by Large Language Models. - Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Jinsong Su:
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings. - Lukasz Sikorski, Jacek Matulewski:
Reducing students' misconceptions about video game development. A mixed-method study. - Xiaoqi Li, Wenkai Li, Zhiquan Liu, Yuqing Zhang, Yingjie Mao:
Penetrating the Hostile: Detecting DeFi Protocol Exploits through Cross-Contract Analysis. - Zenghao Niu, Weicheng Xie, Siyang Song, Zitong Yu, Feng Liu, Linlin Shen:
Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling. - John A. Christian, Michael R. Walker II, Wyatt Bridgman, Michael J. Sparapany:
Runge-Kutta Approximations for Direct Coning Compensation Applying Lie Theory. - Shaojie Wang, Jinghui Wang, Yinghan Cui, Xuxing Chen, Chao Wang, Liang Huang, Xiaojiang Zhang, Junyi Peng, Li Wan, Haotian Zhang, Bin Chen:
Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse. - Sirintra Vaiwsri, Thilina Ranbaduge:
Embedding based Encoding Scheme for Privacy Preserving Record Linkage. - Jotaro Yano:
Zero-Knowledge Extensions on Solana: A Theory of ZK Architecture. - Yiwei Zha, Rui Min, Shanu Sushmita:
PADBen: A Comprehensive Benchmark for Evaluating AI Text Detectors Against Paraphrase Attacks. - Marcel Valový:
Human-AI Programming Role Optimization: Developing a Personality-Driven Self-Determination Framework. - Victory Obieke, Emmanuel Oguadimma:
Structure-Preserving Physics-Informed Neural Network for the Korteweg-de Vries (KdV) Equation. - Thanh Hieu Cao, Trung Khang Tran, Gia Thinh Pham, Tuong Nghiem Diep, Thanh Binh Nguyen:
LGCA: Enhancing Semantic Representation via Progressive Expansion. - Ali Taghavian, Ali Safi, Esmaeel Khanmirza:
Constrained computational hybrid controller for Input Affine Hybrid Dynamical Systems. - Naoto Iwase, Hiroki Okuyama, Junichiro Iwasawa:
MedRECT: A Medical Reasoning Benchmark for Error Correction in Clinical Texts. - Guojian Zhan, Likun Wang, Xiangteng Zhang, Jiaxin Gao, Masayoshi Tomizuka, Shengbo Eben Li:
Bootstrap Off-policy with World Model. - Ashutosh Anshul, Gumpili Sai Pranav, Mohammad Zia Ur Rehman, Nagendra Kumar:
A Multimodal Framework for Depression Detection during Covid-19 via Harvesting Social Media: A Novel Dataset and Method. - Daichi Zhang, Tong Zhang, Jianmin Bao, Shiming Ge, Sabine Süsstrunk:
Leveraging Hierarchical Image-Text Misalignment for Universal Fake Image Detection. - Kazuya Yokota, Ryosuke Harakawa, Masaaki Baba, Masahiro Iwahashi:
Physics-Informed Neural Networks for Speech Production. - Daichi Zhang, Tong Zhang, Shiming Ge, Sabine Süsstrunk:
Enhancing Frequency Forgery Clues for Diffusion-Generated Image Detection. - Zhiwen Ruan, Yixia Li, Yefeng Liu, Yun Chen, Weihua Luo, Peng Li, Yang Liu, Guanhua Chen:
G2: Guided Generation for Enhanced Output Diversity in LLMs. - Andrea Angino, Matteo Aurina, Alena Kopanicáková, Matthias Voigt, Marco Donatelli, Rolf Krause:
Trust-Region Methods with Low-Fidelity Objective Models. - Doyun Choi, Cheonwoo Lee, Jaemin Yoo:
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals. - Pavan Kumar Mangipudi, Sharon Boamah, Lorenz Carvajal, Janise McNair:
COHERE - Congestion-aware Offloading and Handover via Empirical RAT Evaluation for Multi-RAT Networks. - Ruthwik Reddy Doodipala, Pankaj Pandey, Carolina Torres Rojas, Manob Jyoti Saikia, Ranganatha Sitaram:
Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model. - Benjamin Clavié, Xianming Li, Antoine Chaffin, Omar Khattab, Tom Aarsen, Manuel Faysse, Jing Li:
LIR: The First Workshop on Late Interaction and Multi Vector Retrieval @ ECIR 2026. - Xin Yao, Haiyang Zhao, Yimin Chen, Jiawei Guo, Kecheng Huang, Ming Zhao:
ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training. - Ruofan Liu, Yun Lin, Jin Song Dong:
DRIP: Defending Prompt Injection via De-instruction Training and Residual Fusion Model Architecture. - Vahid Etemadi, Gregorio Robles:
SmartDoc: A Context-Aware Agentic Method Comment Generation Plugin. - Jiale Han, Wei Ouyang, Maoran Zhu, Yuanxin Wu:
CT-ESKF: A General Framework of Covariance Transformation-Based Error-State Kalman Filter. - Kiran Shahi, Anup Bagale:
Weakly Supervised Pneumonia Localization from Chest X-Rays Using Deep Neural Network and Grad-CAM Explanations. - Chunyu Wei, Wenji Hu, Xingjia Hao, Xin Wang, Yifan Yang, Yueguo Chen, Yang Tian, Yunhai Wang:
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining. - Mohammed N. Swileh, Shengli Zhang:
Proactive DDoS Detection and Mitigation in Decentralized Software-Defined Networking via Port-Level Monitoring and Zero-Training Large Language Models. - Xin Chen, Saili Uday Gadgil, Kangning Gao, Yi Hu, Cong Nie:
Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders. - Liu Wang, Dong Wang, Shidong Pan, Zheng Jiang, Haoyu Wang, Yi Wang:
A Big Step Forward? A User-Centric Examination of iOS App Privacy Report and Enhancements. - Panwang Pan, Tingting Shen, Chenxin Li, Yunlong Lin, Kairun Wen, Jingjing Zhao, Yixuan Yuan:
HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation. - Zhongxiang Lei, Qi Yang, Ping Qiu, Gang Zhang, Yuanchi Ma, Jinyan Liu:
Why Federated Optimization Fails to Achieve Perfect Fitting? A Theoretical Perspective on Client-Side Optima. - Ryuhei Mizutani:
An Approximation Algorithm for Monotone Submodular Cost Allocation. - Navodini Wijethilake, Marina Ivory, Oscar MacCormac, Siddhant Kumar, Aaron Kujawa, Lorena Garcia-Foncillas Macias, Rebecca Burger, Amanda Hitchings, Suki Thomson, Sinan Barazi, Eleni Maratos, Rupert Obholzer, Dan Jiang, Fiona McClenaghan, Kazumi Chia, Omar Al-Salihi, Nick Thomas, Steve Connor, Tom Vercauteren, Jonathan Shapey:
Longitudinal Vestibular Schwannoma Dataset with Consensus-based Human-in-the-loop Annotations. - Travis Barrett, Amit Kumar Mishra, Joyce Mwangama:
Variational Autoencoder for Calibration: A New Approach. - Ghazal Kalhor, Afra Mashhadi:
Remembering Unequally: Global and Disciplinary Bias in LLM-Generated Co-Authorship Networks. - Weihao Bo, Yanpeng Sun, Yu Wang, Xinyu Zhang, Zechao Li:
FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts. - Rahul Mishra, Sudhanshu Kumar Jha, Omar Faruq Osama, Bishnu Bhusal, Sneha Sudhakaran, Naresh Kshetri:
An Efficient Anomaly Detection Framework for Wireless Sensor Networks Using Markov Process. - Pooja Singh, Shashwat Bhardwaj, Vaibhav Sharma, Sandeep Kumar:
Leveraging the Cross-Domain & Cross-Linguistic Corpus for Low Resource NMT: A Case Study On Bhili-Hindi-English Parallel Corpus. - Stephen Meisenbacher, Florian Matthes:
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting. - Jun Gao, Yun Peng, Xiaoxue Ren:
\texttt{ReMind}: Understanding Deductive Code Reasoning in LLMs. - Jiani Guo, Zuchao Li, Jie Wu, Qianren Wang, Yun Li, Lefei Zhang, Hai Zhao, Yujiu Yang:
ToM: Leveraging Tree-oriented MapReduce for Long-Context Reasoning in Large Language Models. - Simon Giel, James Hurrell, Shreya Santra, Ashutosh Mishra, Kentaro Uno, Kazuya Yoshida:
Design and Development of a Modular Bucket Drum Excavator for Lunar ISRU. - Peng Zhang, Vitaly Petrov, Emil Björnson:
Impact of Antenna Arrays Misalignment on the Near Field Distance in Terahertz Communications. - Panwang Pan, Chenguo Lin, Jingjing Zhao, Chenxin Li, Yuchen Lin, Haopeng Li, Honglei Yan, Kairun Wen, Yunlong Lin, Yixuan Yuan, Yadong Mu:
Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models. - Dang H. Nguyen, Hieu H. Pham, Hao T. Nguyen:
VinDr-CXR-VQA: A Visual Question Answering Dataset for Explainable Chest X-Ray Analysis with Multi-Task Learning. - Qi Luo, Xiaonan Li, Junqi Dai, Shuang Cheng, Xipeng Qiu:
Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge. - Renjun Gao, Xiangjie Kong, Dongting Cai, Boyi Fu, Junxiang Yang:
Three-dimensional narrow volume reconstruction method with unconditional stability based on a phase-field Lagrange multiplier approach. - Yifan Xia, Guorui Chen, Wenqian Yu, Zhijiang Li, Philip Torr, Jindong Gu:
Reimagining Safety Alignment with An Image. - Kai Luo, Hao Shi, Kunyu Peng, Fei Teng, Sheng Wu, Kaiwei Wang, Kailun Yang:
OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback. - Panwang Pan, Jingjing Zhao, Yuchen Lin, Chenguo Lin, Chenxin Li, Haopeng Li, Honglei Yan, Tingting Shen, Yadong Mu:
ID-Composer: Multi-Subject Video Synthesis with Hierarchical Identity Preservation. - Suraj Kumar, Andy Ruina:
Descriptive Model-based Learning and Control for Bipedal Locomotion. - Birat Poudel, Satyam Ghimire, Er. Prakash Chandra Prasad:
Fine-Tuning DialoGPT on Common Diseases in Rural Nepal for Medical Conversations. - Peiyi Wang, Paul A. M. Lefeuvre, Shangwei Zou, Zhenwei Ni, Daniela Rus, Cecilia Laschi:
Adaptive and Multi-object Grasping via Deformable Origami Modules. - Shuochuan Li, Dong Wang, Patanamon Thongtanunam, Zan Wang, Jiuqiao Yu, Junjie Chen:
Issue-Oriented Agent-Based Framework for Automated Review Comment Generation. - Ariyan Hossain, Khondokar Mohammad Ahanaf Hannan, Rakinul Haque, Nowreen Tarannum Rafa, Humayra Musarrat, Shoaib Ahmed Dipu, Farig Yousuf Sadeque:
Exploring and Mitigating Gender Bias in Encoder-Based Transformer Models. - Bao Nguyen, Hieu Trung Nguyen, Ruifeng She, Xiaojin Fu, Viet Anh Nguyen:
Reasoning Planning for Language Models. - Fangyu Wu, Yujun Cai:
SegDebias: Test-Time Bias Mitigation for ViT-Based CLIP via Segmentation. - Jihao Gu, Kun Li, He Wang, Kaan Aksit:
Text-guided Fine-Grained Video Anomaly Detection. - Robab Aghazadeh Chakherlou, Qing Guo, Siddartha Khastgir, Peter T. Popov, Xiaoge Zhang, Xingyu Zhao:
HIP-LLM: A Hierarchical Imprecise Probability Approach to Reliability Assessment of Large Language Models. - Muhammad Hamid Raza Mookadam, Ridewaan Hanslo:
Employee Performance when Implementing Agile Practices in an IT Workforce. - Botao Amber Hu:
On Improvisation and Open-Endedness: Insights for Experiential AI. - Hongtao Huang, Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao:
Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction. - Chana Weil-Kennedy, Darine Rammal, Christophe Gaston, Arnault Lapitre:
Runtime Verification of Interactions Using Automata. - Dragos-Andrei Serban, Razvan-Alexandru Smadu, Dumitru-Clementin Cercel:
Air Pollution Forecasting in Bucharest. - Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu:
Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. - Peter Atandoh, Jie Zou, Weikang Guo, Jiwei Wei, Zheng Wang:
Multi-refined Feature Enhanced Sentiment Analysis Using Contextual Instruction. - Wenbing Zhu, Chengjie Wang, Bin-Bin Gao, Jiangning Zhang, Guannan Jiang, Jie Hu, Zhenye Gan, Lidong Wang, Ziqing Zhou, Linjie Cheng, Yurui Pan, Bo Peng, Mingmin Chi, Lizhuang Ma:
Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era. - Kailun Su, Ziqi He, Xi Wang, Yang Zhou:
MIFO: Learning and Synthesizing Multi-Instance from One Image. - Yunchuan Guan, Yu Liu, Ke Zhou, Hui Li, Sen Jia, Zhiqi Shen, Ziyang Wang, Xinglin Zhang, Tao Chen, Jenq-Neng Hwang, Lei Li:
Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance. - Alain Riou:
Efficient Generation of Binary Magic Squares. - Qiang Li, Jin Niu, Lina Yu:
Robust Single-Agent Reinforcement Learning for Regional Traffic Signal Control Under Demand Fluctuations. - Qiang Li, Ningjing Zeng, Lina Yu:
Single-agent Reinforcement Learning Model for Regional Adaptive Traffic Signal Control. - Santhi Bharath Punati, Sandeep Kanta, Udaya Bhasker Cheerala, Madhusudan G. Lanjewar, Praveen Damacharla:
Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales. - Phil Blandfort, Robert Graham:
Red-teaming Activation Probes using Prompted LLMs. - Dianye Huang, Nassir Navab, Zhongliang Jiang:
Improving Robustness to Out-of-Distribution States in Imitation Learning via Deep Koopman-Boosted Diffusion Policy. - Peng Ding, Jun Kuang, Wen Sun, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang:
Friend or Foe: How LLMs' Safety Mind Gets Fooled by Intent Shift Attack. - Mikhail A. Botchev:
Accuracy and stability of the hyperbolic model time integration scheme revisited. - Chun-Tin Wu, Jun-Cheng Chen:
4D Neural Voxel Splatting: Dynamic Scene Rendering with Voxelized Guassian Splatting. - Shuaijun Li, Jie Tang, Beixiong Zheng, Lipeng Zhu, Cui Yang, Nan Zhao, Xiu Yin Zhang, Kai-Kit Wong:
Rotatable Antenna System Empowered Low-Altitude Economy: Opportunities and Challenges. - Varun Teja Chirukiri, Udaya Bhasker Cheerala, Sandeep Kanta, Abdul Karim, Praveen Damacharla:
FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction. - Tianheng Xu, Runke Fan, Jie Zhu, Pei Peng, Xianfu Chen, Qingqing Wu, Ming Jiang, Celimuge Wu, Dusit Niyato, Kai-Kit Wong:
Advancing Fluid Antenna-Assisted Non-Terrestrial Networks in 6G and Beyond: Fundamentals, State of the Art, and Future Directions. - Wei Feng, Zongyuan Ge:
Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective. - Yinghuan Zhang, Yufei Zhang, Parisa Kordjamshidi, Zijun Cui:
Bayesian Network Structure Discovery Using Large Language Models. - Juan Gabriel Kostelec, Qinghai Guo:
FlashEVA: Accelerating LLM inference via Efficient Attention. - Gianluigi Pillonetto, Alberto Giaretta, Aleksandr Y. Aravkin, Mauro Bisiacco, Timothy C. Elston:
Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology. - Yousuf Ahmed Siddiqui, Sufiyaan Usmani, Umer Tariq, Jawwad Ahmed Shamsi, Muhammad Burhan Khan:
TRACES: Temporal Recall with Contextual Embeddings for Real-Time Video Anomaly Detection. - Carsten Hartmann, Nil Rodellas-Gràcia, Christian Wallisch, Thiemo Pesch, Frank K. Wilhelm, Dirk Witthaut, Tobias Stollenwerk, Andrea Benigni:
Towards Quantum Algorithms for the Optimization of Spanning Trees: The Power Distribution Grids Use Case. - Ke Shi, Yan Zhang, Miao Zhang, Lifan Chen, Jiali Yi, Kui Xiao, Xiaoju Hou, Zhifei Li:
Structurally Refined Graph Transformer for Multimodal Recommendation. - Dong Chen, Yanzhe Wei, Zonglin He, Guan-Ming Kuang, Canhua Ye, Meiru An, Huili Peng, Yong Hu, Huiren Tao, Kenneth M. C. Cheung:
Diagnosing Hallucination Risk in AI Surgical Decision-Support: A Sequential Framework for Sequential Validation. - Rares Folea, Emil-Ioan Slusanschi:
A new metric for evaluating the performance and complexity of computer programs: A new approach to the traditional ways of measuring the complexity of algorithms and estimating running times. - Massinissa Merouani, Islem Kara Bernou, Riyadh Baghdadi:
Agentic Auto-Scheduling: An Experimental Study of LLM-Guided Loop Optimization. - Aayushya Agarwal, Jace Rozsa, Matteo Pozzi, Rahul Panat, Gary K. Fedder:
Digital Twin of Aerosol Jet Printing. - Feng Guo, Luis D. Couto, Guillaume Thenaisie:
Efficiency and Optimality in Electrochemical Battery Model Parameter Identification: A Comparative Study of Estimation Techniques. - Wai-Chung Kwan, Joshua Ong Jun Leang, Pavlos Vougiouklis, Jeff Z. Pan, Marco Valentino, Pasquale Minervini:
OpenSIR: Open-Ended Self-Improving Reasoner. - Yubo Wang, Yubo Cui, Tuo Shi, Danyang Li, Wenxin Li, Lide Suo, Tao Wang, Xin Xie:
EPARA: Parallelizing Categorized AI Inference in Edge Clouds. - Jameson Sandler, Jacob K. Christopher, Thomas Hartvigsen, Ferdinando Fioretto:
SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding. - Shengqi Xu, Xinpeng Zhou, Yabo Zhang, Ming Liu, Tao Liang, Tianyu Zhang, Yalong Bai, Zuxuan Wu, Wangmeng Zuo:
PreferThinker: Reasoning-based Personalized Image Preference Assessment. - Yating Yu, Congqi Cao, Zhaoying Wang, Weihua Meng, Jie Li, Yuxin Li, Zihao Wei, Zhongpei Shen, Jiajun Zhang:
CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World. - Daniel Griffiths, Piper Moskow:
Gaining Momentum: Uncovering Hidden Scoring Dynamics in Hockey through Deep Neural Sequencing and Causal Modeling. - Eric J. Bigelow, Daniel Wurgaft, YingQiao Wang, Noah D. Goodman, Tomer D. Ullman, Hidenori Tanaka, Ekdeep Singh Lubana:
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering. - Huaijin Ran, Haoyi Zhang, Xunzhu Tang:
GDPR-Bench-Android: A Benchmark for Evaluating Automated GDPR Compliance Detection in Android. - Autumn Toney-Wails, Ryan Wails:
Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios. - Junhong Liu, Lanxin Du, Yujia Li, Rong-Peng Liu, Fei Teng, Francis Yunhe Hou:
Adaptive Federated Learning to Optimize the MultiCast flows in Data Centers. - Haoyi Zhang, Huaijin Ran, Xunzhu Tang:
Can Large Language Models Detect Real-World Android Software Compliance Violations? - Alexis Saurin:
Proceedings Twelfth Workshop on Fixed Points in Computer Science. - Jean Barré, Olga Seminck, Antoine Bourgois, Thierry Poibeau:
Modeling the Construction of a Literary Archetype: The Case of the Detective Figure in French Literature. - Yang Li, Siqi Ping, Xiyu Chen, Xiaojian Qi, Zigan Wang, Ye Luo, Xiaowei Zhang:
AgentGit: A Version Control Framework for Reliable and Scalable LLM-Powered Multi-Agent Systems. - Mark Kocherovsky, Illya Bakurov, Wolfgang Banzhaf:
Node Preservation and its Effect on Crossover in Cartesian Genetic Programming. - Hyungtae Lim, Daebeom Kim, Hyun Myung:
Multi-Mapcher: Loop Closure Detection-Free Heterogeneous LiDAR Multi-Session SLAM Leveraging Outlier-Robust Registration for Autonomous Vehicles. - Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke, Patrick Rebeschini:
Stochastic Shortest Path with Sparse Adversarial Costs. - Taulant Kerci, Federico Milano:
Frequency Quality Assessment of GFM and GFL Converters and Synchronous Condensers. - Zicheng Xu, Guanchu Wang, Yu-Neng Chuang, Guangyao Zheng, Alexander S. Szalay, Zirui Liu, Vladimir Braverman:
DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching. - Swapnil Bhosale, Cosmin Frateanu, Camilla Clark, Arnoldas Jasonas, Chris Mitchell, Xiatian Zhu, Vamsi Krishna Ithapu, Giacomo Ferroni, Cagdas Bilen, Sanjeel Parekh:
More Than A Shortcut: A Hyperbolic Approach To Early-Exit Networks. - Oluwatosin Alabi, Meng Wei, Charlie Budd, Tom Vercauteren, Miaojing Shi:
Grounding Surgical Action Triplets with Instrument Instance Segmentation: A Dataset and Target-Aware Fusion Approach. - Cécile Bouette, Michèle A. Wigger:
Multi-Sensor Distributed Hypothesis Testing in the Low-Power Regime. - C. Díaz-Faloh, R. Mulet:
Diluting Restricted Boltzmann Machines. - Chenhua Shi, Bhavika Jalli, Gregor Macdonald, John Zou, Wanlu Lei, Mridul Jain, Joji Philip:
Leveraging Multi-Agent System (MAS) and Fine-Tuned Small Language Models (SLMs) for Automated Telecom Network Troubleshooting. - Lassi Ruoppa, Tarmo Hietala, Verneri Seppänen, Josef Taher, Teemu Hakala, Xiaowei Yu, Antero Kukko, Harri Kaartinen, Juha Hyyppä:
Benchmarking individual tree segmentation using multispectral airborne laser scanning data: the FGI-EMIT dataset. - Jaime Banks:
Measuring Machine Companionship: Scale Development and Validation for AI Companions. - Baris Askin, Holger R. Roth, Zhenyu Sun, Carlee Joe-Wong, Gauri Joshi, Ziyue Xu:
Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning. - Eshaan Tanwar, Anwoy Chatterjee, Michael Saxon, Alon Albalak, William Yang Wang, Tanmoy Chakraborty:
Do You Know About My Nation? Investigating Multilingual Language Models' Cultural Literacy Through Factual Knowledge. - Guilherme H. Travassos, Sabrina Rocha, Rodrigo Feitosa Gonçalves, Felipe Assis, Patrícia Gonçalves, André Gheventer, Larissa Galeno, Arthur Sasse, Júlio César Guimarães, Carlos Brito, João Pedro Wieland:
Lessons Learned from the Use of Generative AI in Engineering and Quality Assurance of a WEB System for Healthcare. - Wang Chen, Heye Huang, Ke Ma, Hangyu Li, Shixiao Liang, Hang Zhou, Xiaopeng Li:
Unveiling Uniform Shifted Power Law in Stochastic Human and Autonomous Driving Behavior. - Alex Dobra, Jakiw Pidstrigach, Tim Reichelt, Christian Schröder de Witt, Philip Torr, Philip Stier:
Sensitivity Analysis for Climate Science with Generative Flow Models. - Kasimir Schulz, Amelia Kawasaki, Leo Ring:
ShadowLogic: Backdoors in Any Whitebox LLM. - Zhiyang Ning, Benjamin Peherstorfer:
Filtered Neural Galerkin model reduction schemes for efficient propagation of initial condition uncertainties in digital twins. - Dominik Drexler:
Lifted Successor Generation in Numeric Planning. - Tasmia Zerin, Moumita Asad, B. M. Mainul Hossain, Kazi Sakib:
Repairing Responsive Layout Failures Using Retrieval Augmented Generation. - Mehmet Yigit Avci, Pedro Borges, Virginia Fernandez, Paul Wright, Mehmet Yigitsoy, Sébastien Ourselin, Jorge Cardoso:
Metadata-Aligned 3D MRI Representations for Contrast Understanding and Quality Control. - Hailing Wang, Jianglin Lu, Yitian Zhang, Yun Fu:
Outlier-Aware Post-Training Quantization for Image Super-Resolution. - Alex Inch, Passawis Chaiyapattanaporn, Yuchen Zhu, Yuan Lu, Ting-Wen Ko, Davide Paglieri:
Evolve to Inspire: Novelty Search for Diverse Image Generation. - Berk Atil, Rebecca J. Passonneau, Fred Morstatter:
Do Methods to Jailbreak and Defend LLMs Generalize Across Languages? - Ke Chen, Adrian Dumitrescu:
A Couple of Simple Algorithms for k-Dispersion. - Saba Latif, Huma Latif, Muhammad Rameez Ur Rahman:
Object-Centric Analysis of XES Event Logs: Integrating OCED Modeling with SPARQL Queries. - Uthman Jinadu, Siawpeng Er, Le Yu, Chen Liang, Bingxin Li, Yi Ding, Aleksandar Velkoski:
Taxonomy-based Negative Sampling In Personalized Semantic Search for E-commerce. - Taifour Yousra, Azeddine Beghdadi, Marie Luong, Zuheng Ming:
Toward Better Optimization of Low-Dose CT Enhancement: A Critical Analysis of Loss Functions and Image Quality Assessment Metrics. - Sophie Li, Nicholas Huang, Nayan Saxena, Nina Luo, Vincent Lin, Kevin Zhu, Sunishchal Dev:
Inference-Time Chain-of-Thought Pruning with Latent Informativeness Signals. - Penghang Liu, Haibei Zhu, Eleonora Kreacic, Svitlana Vyetrenko:
Privacy-Aware Time Series Synthesis via Public Knowledge Distillation. - Alberto Di Biase:
Applying Medical Imaging Tractography Techniques to Painterly Rendering of Images. - Morgan P. Lee, Artem Frenk, Eamon Worden, Karish Gupta, Thinh Pham, Ethan A. Croteau, Neil T. Heffernan:
Investigating the Robustness of Knowledge Tracing Models in the Presence of Student Concept Drift. - Marcos Vinicius Cruz, Pragya Verma, Grischa Liebel:
An Empirical Investigation of the Experiences of Dyslexic Software Engineers. - Zoha Azimi Ourimi, Reza Farahani, Vignesh V. Menon, Christian Timmerer:
Predicting Encoding Energy from Low-Pass Anchors for Green Video Streaming. - Veronica Bossio Botero, Vijay Yadav, Jacob Ouyang, Anzar Abbas, Michelle Worthington:
A Voice-Enabled Virtual Patient System for Interactive Training in Standardized Clinical Assessment. - Minghe Shen, Zhuo Zhi, Chonghan Liu, Shuo Xing, Zhengzhong Tu, Che Liu:
Ariadne: A Controllable Framework for Probing and Extending VLM Reasoning Boundaries. - Nardeep Kumar, Arun Kanwar:
TRISKELION-1: Unified Descriptive-Predictive-Generative AI. - Rama Kassoumeh, David Rügamer, Henning Oppel:
Enhancing Heavy Rain Nowcasting with Multimodal Data: Integrating Radar and Satellite Observations. - Hugo Massaroli, Hernan Chaves, Pilar Anania, Mauricio Farez, Emmanuel Iarussi, Viviana Siless:
Validating Deep Models for Alzheimer's 18F-FDG PET Diagnosis Across Populations: A Study with Latin American Data. - Mahya Qorbani, Kamran Paynabar, Mohsen Moghaddam:
Teaching LLMs to See and Guide: Context-Aware Real-Time Assistance in Augmented Reality. - Zainab Aizaz, James C. Knight, Thomas Nowotny:
FeNN-DMA: A RISC-V SoC for SNN acceleration. - Tyler Christeson, Md Habib Ullah, Ali Arabnya, Amin Khodaei, Rui Fan:
Hybrid Quantum-Classical Optimization of the Resource Scheduling Problem. - José Pablo Lucero Lorca:
Towards a Multigrid Preconditioner Interpretation of Hierarchical Poincaré-Steklov Solvers. - Tyler Christeson, Amin Khodaei, Rui Fan:
Quantum Computing for EVs to Enhance Grid Resilience and Disaster Relief: Challenges and Opportunities. - Jaewoo Park, Chenghao Quan, Jongeun Lee:
EP-HDC: Hyperdimensional Computing with Encrypted Parameters for High-Throughput Privacy-Preserving Inference. - Maksim Konoplia, Dmitrii Khizbullin:
Towards classification-based representation learning for place recognition on LiDAR scans. - Ritik Raj, Hong Wang, Tushar Krishna:
A CPU-Centric Perspective on Agentic AI. - Igor Engel, Ekaterina Verbitskaia:
Typed Embedding of miniKanren for Functional Conversion. - Xiaoyang Tian, Hui Wang, Boshuo Wang, Jinshui Zhang, Dong Yan, Jeannette Ingabire, Samantha Coffler, Guillaume Duret, Quoc-Khanh Pham, Gang Bao, Jacob T. Robinson, Stefan M. Goetz, Angel V. Peterchev:
High-Power Dual-Channel Field Chamber for High-Frequency Magnetic Neuromodulation. - Zixuan Ma, Chenfeng Huang:
Effective Series Decomposition and Components Learning for Time Series Generation. - Yi Yang, Jian Pei, Jun Yang, Jichun Xie:
Finding Non-Redundant Simpson's Paradox from Multidimensional Data. - Tanvi Dinkar, Aiqi Jiang, Gavin Abercrombie, Ioannis Konstas:
Erasing 'Ugly' from the Internet: Propagation of the Beauty Myth in Text-Image Models. - Kokila Kasuni Perera, Frank Neumann, Aneta Neumann:
Trust Region-Based Bayesian Optimisation to Discover Diverse Solutions. - Chiyan Loo:
Reevaluating Self-Consistency Scaling in Multi-Agent Systems. - Hong Su:
Active Thinking Model: A Goal-Directed Self-Improving Framework for Real-World Adaptive Intelligence. - Sitao Ling, Wenxuan Ma, Musheng Wei:
Generalized singular value decompositions of dual quaternion matrices and beyond. - Leonardo Kanashiro Felizardo, Edoardo Fadda, Mariá Cristina Vasconcelos Nascimento:
Automatic Policy Search using Population-Based Hyper-heuristics for the Integrated Procurement and Perishable Inventory Problem. - Wanda Hou, Leon Zhou, Hong-Ye Hu, Yi-Zhuang You, Xiao-Liang Qi:
How Focused Are LLMs? A Quantitative Study via Repetitive Deterministic Prediction Tasks. - Shi Gengtian, Jiang Liu, Shigeru Shimamoto:
Deep Q-Network for Optimizing NOMA-Aided Resource Allocation in Smart Factories with URLLC Constraints. - Guodong Wang, Hongwei Liu, Jinquan Luo:
Improved Decoding Algorithms for MDS and Almost-MDS Codesfrom Twisted GRS Codes. - Shi Gengtian, Takashi Koshimizu, Megumi Saito, Zhenni Pan, Jiang Liu, Shigeru Shimamoto:
Power Control Based on Multi-Agent Deep Q Network for D2D Communication. - Peiru Wu, Maojun Zhai, Lingzhu Zhang:
A Framework Based on Graph Cellular Automata for Similarity Evaluation in Urban Spatial Networks. - Raymond M. Xiong, Panyu Chen, Tianze Dong, Jian Lu, Benjamin Goldstein, Danyang Zhuo, Anru R. Zhang:
Reliable Curation of EHR Dataset via Large Language Models under Environmental Constraints. - Eldred Lee, Nicholas Worley, Koshu Takatsuji:
Quantifying truth and authenticity in AI-assisted candidate evaluation: A multi-domain pilot analysis. - Cuiyun Gao, Guodong Fan, Chun Yong Chong, Shizhan Chen, Chao Liu, David Lo, Zibin Zheng, Qing Liao:
A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI. - Anis Suttan Shahrir, Zakiah Ayop, Syarulnaziah Anawar, Norulzahrah Mohd. Zainudin:
A Hybrid YOLOv5-SSD IoT-Based Animal Detection System for Durian Plantation Protection. - Chenyu Zhao, Shenglin Zhang, Zeshun Huang, Weilin Jin, Yongqian Sun, Dan Pei, Chaoyun Zhang, Qingwei Lin, Chetan Bansal, Saravan Rajmohan, Minghua Ma:
Can Language Models Go Beyond Coding? Assessing the Capability of Language Models to Build Real-World Systems. - Jifan Gao, Michael H. Rosenthal, Brian Wolpin, Simona Cristea:
Count-Based Approaches Remain Strong: A Benchmark Against Transformer and LLM Pipelines on Structured EHR. - Jingzehua Xu, Weihang Zhang, Yangyang Li, Hongmiaoyi Zhang, Guanwen Xie, Jiwei Tang, Shuai Zhang, Yi Li:
When Semantics Connect the Swarm: LLM-Driven Fuzzy Control for Cooperative Multi-Robot Underwater Coverage. - Juan Wang, Yasutomo Kawanishi, Tomo Miyazaki, Zhijie Wang, Shinichiro Omachi:
Class-agnostic 3D Segmentation by Granularity-Consistent Automatic 2D Mask Tracking. - Akshay Sai Banderwaar, Abhishek Gupta:
Fast PINN Eigensolvers via Biconvex Reformulation. - Barathi Subramanian, Rathinaraja Jeyaraj, Anand Paul, Kapilya Gangadharan:
Rhythm in the Air: Vision-based Real-Time Music Generation through Gestures. - Yan Sun, Jia Guo, Stanley Kok, Zihao Wang, Zujie Wen, Zhiqiang Zhang:
Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration. - Viswa Chaitanya Marella, Suhasnadh Reddy Veluru, Sai Teja Erukude:
FedOnco-Bench: A Reproducible Benchmark for Privacy-Aware Federated Tumor Segmentation with Synthetic CT Data. - Ran Yan, Youhe Jiang, Tianyuan Wu, Jiaxuan Gao, Zhiyu Mei, Wei Fu, Haohui Mai, Wei Wang, Yi Wu, Binhang Yuan:
AReaL-Hex: Accommodating Asynchronous RL Training over Heterogeneous GPUs. - Zixian Wang:
Attention Saturation and Gradient Suppression at Inflection Layers: Diagnosing and Mitigating Bottlenecks in Transformer Adaptation. - Zhihui Chen, Mengling Feng:
Med-Banana-50K: A Cross-modality Large-Scale Dataset for Text-guided Medical Image Editing. - Jie JW Wu, Ayanda Patrick Herlihy, Ahmad Saleem Mirza, Ali Afoud, Fatemeh H. Fard:
GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents. - Abhiram Kusumba, Maitreya Patel, Kyle Min, Changhoon Kim, Chitta Baral, Yezhou Yang:
EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment. - Rishita Agarwal, Himanshu Singhal, Peter Baile Chen, Manan Roy Choudhury, Dan Roth, Vivek Gupta:
REaR: Retrieve, Expand and Refine for Effective Multitable Retrieval. - Guangxi Wan, Peng Zeng, Xiaoting Dong, Chunhe Song, Shijie Cui, Dong Li, Qingwei Dong, Yiyang Liu, Hongfei Bai:
Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems. - Xuan He, Zequan Fang, Jinzhao Lian, Danny H. K. Tsang, Baosen Zhang, Yize Chen:
FREESH: Fair, Resource- and Energy-Efficient Scheduling for LLM Serving on Heterogeneous GPUs. - Bowen Fang, Ruijian Zha, Xuan Di:
Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events? - Yang Xu, Haibin Kan, Guangyue Han:
An Elementary Approach to MacWilliams Extension Property and Constant Weight Code with Respect to Weighted Hamming Metric. - Shijie Zhou, Viet Dac Lai, Hao Tan, Jihyung Kil, Wanrong Zhu, Changyou Chen, Ruiyi Zhang:
GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding. - Runyu Lu, Peng Zhang, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao, Yang Liu, Dong Wang, Cesare Alippi:
Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games. - Shashank Nag, Alan T. L. Bacellar, Zachary Susskind, Anshul Jha, Logan Liberty, Aishwarya Sivakumar, Eugene B. John, Krishnan Kailas, Priscila M. V. Lima, Neeraja J. Yadwadkar, Felipe M. G. França, Lizy K. John:
LL-ViT: Edge Deployable Vision Transformers with Look Up Table Neurons. - Stella Kombo, Masih Haseli, Skylar Wei, Joel W. Burdick:
Real-Time Learning of Predictive Dynamic Obstacle Models for Robotic Motion Planning. - Yue Gou, Fanghui Song, Yuming Xing, Shengzhu Shi, Zhichang Guo, Boying Wu:
TA-LSDiff:Topology-Aware Diffusion Guided by a Level Set Energy for Pancreas Segmentation. - Lingyao Li, Zhijie Duan, Xuexin Li, Xiaoran Xu, Zhaoqian Xue, Siyuan Ma, Jin Jin:
Deciphering Scientific Collaboration in Biomedical LLM Research: Dynamics, Institutional Participation, and Resource Disparities. - Yuxuan Hu, Jianchao Tan, Jiaqi Zhang, Wen Zan, Pingwei Sun, Yifan Lu, Yerui Sun, Yuchen Xie, Xunliang Cai, Jing Zhang:
Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies. - Ruoxiang Huang, Xindian Ma, Rundong Kong, Zhen Yuan, Peng Zhang:
OMEGA: Optimized Multimodal Position Encoding Index Derivation with Global Adaptive Scaling for Vision-Language Models. - Qi Xia, Hu Xia, Isaac Amankona Obiri, Bonsu Adjei-Arthur, Grace Mupoyi Ntuala, Ansu Badjie, Bole Wilfried Tienin, Jiaqin Liu, Lan Ma, Jianbin Gao, Feng Yao:
TINC: Trusted Intelligent NetChain. - Shatha Algarni, Boris Glavic, Seokki Lee, Adriane Chapman:
Efficient Query Repair for Aggregate Constraints. - Wen Yang, Qiming Ye, Onur Ascigil, Saidu Sokoto, Leonhard Balduf, Michal Król, Gareth Tyson:
Beyond Single-Tokenomics: How Farcaster's Pluralistic Incentives Reshape Social Networking. - Huiyao Dong, Igor V. Kotenko:
Towards Ultra-Low Latency: Binarized Neural Network Architectures for In-Vehicle Network Intrusion Detection. - Xin Liu, Aoyang Zhou, Kun He:
Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack. - Yifan Pu, Jixuan Ying, Qixiu Li, Tianzhu Ye, Dongchen Han, Xiaochen Wang, Ziyi Wang, Xinyu Shao, Gao Huang, Xiu Li:
Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials. - Taikun Zhu, Kai Jin, Ruixi Luo, Song Cao:
Optimal Allocations under Strongly Pigou-Dalton Criteria: Hidden Layer Structure & Efficient Combinatorial Approach. - Xin Liu, Yichen Yang, Kun He, John E. Hopcroft:
Parameter Interpolation Adversarial Training for Robust Image Classification. - John Yang, Kilian Lieret, Joyce Yang, Carlos E. Jimenez, Ofir Press, Ludwig Schmidt, Diyi Yang:
CodeClash: Benchmarking Goal-Oriented Software Engineering. - William Suliman, Ekaterina Chaikovskaia, Egor Davydenko, Roman Gorbachev:
Heuristic Step Planning for Learning Dynamic Bipedal Locomotion: A Comparative Study of Model-Based and Model-Free Approaches. - Xinsong Li, Ning Jiang, Jay Selvaraj:
Portal UX Agent - A Plug-and-Play Engine for Rendering UIs from Natural Language Specifications. - Shuang Qi, Bin Lin, Yiqin Deng, Xianhao Chen, Yuguang Fang:
Minimizing Maximum Latency of Task Offloading for Multi-UAV-assisted Maritime Search and Rescue. - Zhihao Peng, Cheng Wang, Shengyuan Liu, Zhiying Liang, Yixuan Yuan:
OmniBrainBench: A Comprehensive Multimodal Benchmark for Brain Imaging Analysis Across Multi-stage Clinical Tasks. - Yuhan Cao, Yu Wang, Sitong Liu, Miao Li, Yixin Tao, Tianxing He:
Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers. - Abhishek Patange, Sharat Chidambaran, Prabhat Shankar, Manjunath G. B., Anindya Chatterjee:
Identifying Slug Formation in Oil Well Pipelines: A Use Case from Industrial Analytics. - Chong Lyu, Lin Li, Shiqing Wu, Jingling Yuan:
TriCon-Fair: Triplet Contrastive Learning for Mitigating Social Bias in Pre-trained Language Models. - Zhonggen Li, Yougen Li, Yifan Zhu, Zhaoqiang Chen, Yunjun Gao:
All-in-one Graph-based Indexing for Hybrid Search on GPUs. - Yu Liu, Zhijie Liu, Zedong Yang, You-Fu Li, He Kong:
Occlusion-Aware Diffusion Model for Pedestrian Intention Prediction. - Jaehyun Park, Konyul Park, Daehun Kim, Junseo Park, Jun Won Choi:
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion. - Hangdong Zhao, Zhenghong Yu, Srinag Rao, Simon Frisk, Zhiwei Fan, Paraschos Koutris:
FlowLog: Efficient and Extensible Datalog via Incrementality. - Nazmul Takbir, Hamidreza Alikhani, Nikil D. Dutt, Sangeetha Abdu Jyothi:
FlexiCache: Leveraging Temporal Stability of Attention Heads for Efficient KV Cache Management. - Hue T. Nguyen, Tan D. Tran, Long Giang Nguyen, Canh V. Pham:
Fast Stochastic Greedy Algorithm for k-Submodular Cover Problem. - Zhuowen Yin, Cuifeng Gao, Chunsong Fan, Wenzhang Yang, Yinxing Xue, Lijun Zhang:
A Comprehensive Empirical Evaluation of Agent Frameworks on Code-centric Software Engineering Tasks. - Taowen Liu, Marta Andronic, Deniz Gündüz, George A. Constantinides:
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding. - Amirabbas Afzali, Amirreza Velae, Iman Ahmadi, Mohammad Aliannejadi:
Controlling Gender Bias in Retrieval via a Backpack Architecture. - Hyeon Hwang, Yewon Cho, Chanwoong Yoon, Yein Park, Minju Song, Kyungjae Lee, Gangwoo Kim, Jaewoo Kang:
Assessing LLM Reasoning Steps via Principal Knowledge Grounding. - Joonyoung Lim, Younghwan Yoo:
KFCPO: Kronecker-Factored Approximated Constrained Policy Optimization. - Mathias Mankoe, Fuqiang Lu, Hualing Bi, Abdulsalam Sibidoo Mubashiru:
A Meta-Cognitive Swarm Intelligence Framework for Resilient UAV Navigation in GPS-Denied and Cluttered Environments. - Tal Argov, Tal Wagner:
SpEx: A Spectral Approach to Explainable Clustering. - Kyriakos Georgiou, Gianluca Fabiani, Constantinos I. Siettos, Athanasios N. Yannacopoulos:
HEATNETs: Explainable Random Feature Neural Networks for High-Dimensional Parabolic PDEs. - Trinh Van Chien, Ngo Tran Anh Thu, Nguyen Hoang Lam, Hien Quoc Ngo, Symeon Chatzinotas, Huynh Thi Thanh Binh:
Fairness Designs for Load Balancing Optimization in Satellite-Cell-Free Massive MIMO Systems. - Nicolas Troquard:
A Simple Logic of Cohesive Group Agency. - Hasan Abdulla:
Android Malware Detection: A Machine Leaning Approach. - Daniel E. Lucani, Marcell Fehér:
HyRES: A Hybrid Replication and Erasure Coding Approach to Data Storage. - Heng Zhang, Jing Liu, Jiajun Wu, Haochen You, Lubin Gan, Yuling Shi, Xiaodong Gu, Zijian Zhang, Shuai Chen, Wenjun Huang, Jin Huang:
Empowering LLMs with Structural Role Inference for Zero-Shot Graph Learning. - Junli Jiang, Pavel Naumov, Wenxuan Zhang:
Dynamic Logic of Trust-Based Beliefs. - Yoshihiro Maruyama:
Learning with Category-Equivariant Representations for Human Activity Recognition. - Vincenzo De Martino, Stefano Lambiase, Fabiano Pecorelli, Willem-Jan van den Heuvel, Filomena Ferrucci, Fabio Palomba:
Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner's Perspective. - Ahmed Masry, Megh Thakkar, Patrice Bechard, Sathwik Tejaswi Madhusudhan, Rabiul Awal, Shambhavi Mishra, Akshay Kalkunte Suresh, Srivatsava Daruru, Enamul Hoque, Spandana Gella, Torsten Scholak, Sai Rajeswar:
ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval. - Ernesto Araya, Massimiliano Datres, Gitta Kutyniok:
Random Spiking Neural Networks are Stable and Spectrally Simple. - Martino Trevisan:
DPMon: a Differentially-Private Query Engine for Passive Measurements. - Ruifeng Ren, Sheng Ouyang, Huayi Tang, Yong Liu:
Transformers as Intrinsic Optimizers: Forward Inference through the Energy Principle. - Heng Zheng, Yuling Shi, Xiaodong Gu, Haochen You, Zijian Zhang, Lubin Gan, Hao Zhang, Wenjun Huang, Jin Huang:
GraphGeo: Multi-Agent Debate Framework for Visual Geo-localization with Heterogeneous Graph Neural Networks. - Heng Zheng, Haochen You, Zijun Liu, Zijian Zhang, Lubin Gan, Hao Zhang, Wenjun Huang, Jin Huang:
G2rammar: Bilingual Grammar Modeling for Enhanced Text-attributed Graph Learning. - Jukka Ruohonen, Abhishek Tiwari:
Empirical Derivations from an Evolving Test Suite. - Yan Shu, Chi Liu, Robin Chen, Derek Li, Bryan Dai:
Fleming-VL: Towards Universal Medical Visual Reasoning with Multimodal LLMs. - Junyao Shi, Rujia Yang, Kaitian Chao, Bingqing Selina Wan, Yifei Simon Shao, Jiahui Lei, Jianing Qian, Long Le, Pratik Chaudhari, Kostas Daniilidis, Chuan Wen, Dinesh Jayaraman:
Maestro: Orchestrating Robotics Modules with Vision-Language Models for Zero-Shot Generalist Robots. - Jianzhou Yao, Shunchang Liu, Guillaume Drui, Rikard Pettersson, Alessandro Blasimme, Sara Kijewski:
The Biased Oracle: Assessing LLMs' Understandability and Empathy in Medical Diagnoses. - Hanwen Su, Ge Song, Jiyan Wang, Yuanbo Zhu:
Dynamic Multi-level Weighted Alignment Network for Zero-shot Sketch-based Image Retrieval. - Kyung-Hoon Kim:
LLMs Position Themselves as More Rational Than Humans: Emergence of AI Self-Awareness Measured Through Game Theory. - Pavithren V. S. Pakianathan, Hannah McGowan, Isabel Höppchen, Daniela Wurhofer, Gunnar Treff, Mahdi Sareban, Josef Niebauer, Albrecht Schmidt, Jan David Smeddinck:
Towards Data-Enabled Physical Activity Planning: An Exploratory Study of HCP Perspectives On The Integration Of Patient-Generated Health Data. - Xijie Ba, Qin Liu, Xiaohong Li, Jianting Ning:
Leakage-abuse Attack Against Substring-SSE with Partially Known Dataset. - Xiangyu Shi, Zerui Li, Yanyuan Qiao, Qi Wu:
Fast-SmartWay: Panoramic-Free End-to-End Zero-Shot Vision-and-Language Navigation. - Elizabeth Dietrich, Hanna Krasowski, Emir Cem Gezer, Roger Skjetne, Asgeir Johan Sørensen, Murat Arcak:
pacSTL: PAC-Bounded Signal Temporal Logic from Data-Driven Reachability Analysis. - Pavithren V. S. Pakianathan, Rania Islambouli, Hannah McGowan, Diogo Branco, Tiago João Guerreiro, Jan David Smeddinck:
Exploring Human-AI Interaction with Patient-Generated Health Data Sensemaking for Cardiac Risk Reduction. - Zhe Li, Xiang Bai, Jieyu Zhang, Zhuangzhe Wu, Che Xu, Ying Li, Chengkai Hou, Shanghang Zhang:
URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model. - Dipanjan Ghose, S. Sivaranjani, Junjie Qin:
Traffic-Aware Grid Planning for Dynamic Wireless Electric Vehicle Charging. - Yi Zhao, Siqi Wang, Qiqun Geng, Erxin Yu, Jing Li:
"Less is More": Reducing Cognitive Load and Task Drift in Real-Time Multimodal Assistive Agents for the Visually Impaired. - Yangyang Zhao, Matti Kaisti, Olli Lahdenoja, Tero Koivisto:
Motion-Robust Multimodal Fusion of PPG and Accelerometer Signals for Three-Class Heart Rhythm Classification. - Lewen Wang, Sihuang Hu:
Lower Bounds on Conversion Bandwidth for MDS Convertible Codes in Split Regime. - Amine Abouaomar, Badr Ben Elallid, Nabil Benamar:
Optimizing Energy and Latency in 6G Smart Cities with Edge CyberTwins. - Liuzhuozheng Li, Yue Gong, Shanyuan Liu, Bo Cheng, Yuhang Ma, Liebucha Wu, Dengyang Jiang, Zanyi Wang, Dawei Leng, Yuhui Yin:
EVTAR: End-to-End Try on with Additional Unpaired Visual Reference. - Mária Lukácová-Medvidová, Zhuyan Tang, Yuhuan Yuan:
Convergence analysis for a finite volume evolution Galerkin method for multidimensional hyperbolic systems. - Khoat Than:
The Hidden Power of Normalization: Exponential Capacity Control in Deep Neural Networks. - Bui Duc Son, Gaosheng Zhao, Trinh Van Chien, Dong In Kim:
Secure Distributed RIS-MIMO over Double Scattering Channels: Adversarial Attack, Defense, and SER Improvement. - Abhinav P. M, Ojasva Saxena, Oswald C., Parameswari Krishnamurthy:
The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs using Indian Riddles. - You-Jin Kim, Joshua Lu, Tobias Höllerer:
Dynamic Theater: Location-Based Immersive Dance Theater, Investigating User Guidance and Experience. - Dongheng Lin, Mengxue Qu, Kunyang Han, Jianbo Jiao, Xiaojie Jin, Yunchao Wei:
A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis. - Jiahao Huang, Marios M. Polycarpou, Wen Yang, Fangfei Li, Yang Tang:
Secure Distributed Consensus Estimation under False Data Injection Attacks: A Defense Strategy Based on Partial Channel Coding. - Thanh Hai Hoang, Duy-Tung Nguyen, Hung The Tran, Khoat Than:
Using Synthetic Data to estimate the True Error is theoretically and practically doable. - Jiacheng Xu, Xiongfei Zhao, Hou-Wan Long, Se-Hang Cheong, Yain-Whar Si:
Detecting Coverage Holes in Wireless Sensor Networks Using Connected Component Labeling and Force-Directed Algorithms. - Ayse S. Okatan, Mustafa Ilhan Akbas, Laxima Niure Kandel, Berker Peköz:
Keys in the Weights: Transformer Authentication Using Model-Bound Latent Representations. - Kristiyan Sakalyan, Alessandro Palma, Filippo Guerranti, Fabian J. Theis, Stephan Günnemann:
Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow. - Suzhong Fu, Rui Sun, Xuan Ding, Jingqi Dong, Yiming Yang, Yao Zhu, Min Chang Jordan Ren, Delin Deng, Angelica Aviles-Rivero, Shuguang Cui, Zhen Li:
VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel. - Yizhao Qian, Yujie Zhu, Jiayuan Luo, Li Liu, Yixuan Yuan, Guochen Ning, Hongen Liao:
Breaking the Latency Barrier: Synergistic Perception and Control for High-Frequency 3D Ultrasound Servoing. - Yiwen Jiao, Tonghui Ren, Yuche Gao, Zhenying He, Yinan Jing, Kai Zhang, X. Sean Wang:
ORANGE: An Online Reflection ANd GEneration framework with Domain Knowledge for Text-to-SQL. - Kamesh Munagala, Qilin Ye, Ian Zhang:
Deliberation via Matching. - Rongrong Xie, Guido Sanguinetti:
Balanced Multimodal Learning via Mutual Information. - Chenwang Wu, Yiu-ming Cheung, Bo Han, Defu Lian:
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective. - Asal Meskin, Alireza Mirrokni, Ali Najar, Ali Behrouz:
Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis. - Tianming Liu, Jirong Yang, Yafeng Yin, Manzi Li, Linghao Wang, Zheng Zhu:
Aligning LLM agents with human learning and adjustment behavior: a dual agent approach. - Tianming Wu, Dixin Tang:
PathFinder: Efficiently Supporting Conjunctions and Disjunctions for Filtered Approximate Nearest Neighbor Search. - Chang Nie, Tianchen Deng, Zhe Liu, Hesheng Wang:
MID: A Self-supervised Multimodal Iterative Denoising Framework. - Ziye Wang, Li Kang, Yiran Qin, Jiahua Ma, Zhanglin Peng, Lei Bai, Ruimao Zhang:
GauDP: Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies. - Julian Streit, Franziska Weindel, Reinhard Heckel:
Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization Errors. - Hassan Ugail, Ismail Lujain Jaleel:
Integrating Visual and X-Ray Machine Learning Features in the Study of Paintings by Goya. - Johansell Villalobos, Daniel Caviedes-Voullième, Silvio Rizzi, Esteban Meneses:
Towards Portability at Scale: A Cross-Architecture Performance Evaluation of a GPU-enabled Shallow Water Solver. - Diantong Li, Kyunghyun Cho, Chong Liu:
None To Optima in Few Shots: Bayesian Optimization with MDP Priors. - Haolin Yang, Jipeng Zhang, Zhitao He, Yi R. Fung:
MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL. - Fabrício Olivetti de França, Gabriel Kronberger:
Equality Graph Assisted Symbolic Regression. - Mohammad Amanour Rahman:
HyFormer-Net: A Synergistic CNN-Transformer with Interpretable Multi-Scale Fusion for Breast Lesion Segmentation and Classification in Ultrasound Images. - Bosi Wen, Yilin Niu, Cunxiang Wang, Pei Ke, Xiaoying Ling, Ying Zhang, Aohan Zeng, Hongning Wang, Minlie Huang:
IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation. - Nabeel Seedat, Jiashuo Liu, Mihaela van der Schaar:
What's the next frontier for Data-centric AI? Data Savvy Agents. - Wenjin Liu, Haoran Luo, Xueyuan Lin, Haoming Liu, Tiesunlong Shen, Jiapu Wang, Rui Mao, Erik Cambria:
Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning. - Haoran Ye, Qiuzhuang Sun, Yang Yang:
SARIMAX-Based Power Outage Prediction During Extreme Weather Events. - Hui-Lee Ooi, Nicholas Mitsakakis, Margerie Huet Dastarac, Roger Zemek, Amy C. Plint, Jeff Gilchrist, Khaled El Emam, Dhenuka Radhakrishnan:
AI for pRedicting Exacerbations in KIDs with aSthma (AIRE-KIDS). - Bowen Chen, Jayesh Gajbhar, Gregory Dusek, Rob Redmon, Patrick Hogan, Paul Liu, DelWayne Bohnenstiehl, Dongkuan Xu, Ruoying He:
OceanAI: A Conversational Platform for Accurate, Transparent, Near-Real-Time Oceanographic Insights. - Xingyu Ren, Michael C. Fu, Steven I. Marcus:
On Structural Properties of Risk-Averse Optimal Stopping Problems. - Huihui Yang, Pingpeng Yuan:
Fast Answering Pattern-Constrained Reachability Queries with Two-Dimensional Reachability Index. - Junxi Yuan:
FastBoost: Progressive Attention with Dynamic Scaling for Efficient Deep Learning. - Mathieu Dubied, Paolo Tiso, Robert K. Katzschmann:
AquaROM: shape optimization pipeline for soft swimmers using parametric reduced order models. - Yiqian Wu, Ming Yi, Bolun Xu, James Anderson:
Online Energy Storage Arbitrage under Imperfect Predictions: A Conformal Risk-Aware Approach. - Tiberiu Musat, Tiago Pimentel, Lorenzo Noci, Alessandro Stolfo, Mrinmaya Sachan, Thomas Hofmann:
On the Emergence of Induction Heads for In-Context Learning. - Francesca Renzi, Christian Vergara:
A Stable Loosely-Coupled Dirichlet-Neumann Scheme for Fluid-Structure Interaction with Large Added Mass. - Zihan Fang, Yifan Zhang, Yueke Zhang, Kevin Leach, Yu Huang:
DPO-F+: Aligning Code Repair Feedback with Developers' Preferences. - George Jones, Ángel F. García-Fernández:
GOSPA-Driven Non-Myopic Multi-Sensor Management with Multi-Bernoulli Filtering. - Vedant Acharya, Abhay Pisharodi, Rishabh Mondal, Mohammad Rafiuddin, Nipun Batra:
VayuChat: An LLM-Powered Conversational Interface for Air Quality Data Analytics. - Yu Shi, Hao Li, Bram Adams, Ahmed E. Hassan:
HAFixAgent: History-Aware Automated Program Repair Agent. - Yeawon Lee, Christopher C. Yang, Chia-Hsuan Chang, Grace Lu-Yao:
Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports. - Qing Ding, Eric Hua Qing Zhang, Felix Jozsa, Julia Ive:
Building a Silver-Standard Dataset from NICE Guidelines for Clinical LLMs. - Sama Salarian, Yue Zhang, Swati Padhee, Srinivasan Parthasarathy:
MedEqualizer: A Framework Investigating Bias in Synthetic Medical Data and Mitigation via Augmentation. - Abbas Tariverdi:
Robust Self-Triggered Control Approaches Optimizing Sampling Sequences with Synchronous Measurements. - Hailong Yin, Bin Zhu, Jingjing Chen, Chong-Wah Ngo:
Efficient Test-Time Retrieval Augmented Generation. - Andrew Hallam, R. G. Gayathri, Glory Lee, Atul Sajjanhar:
Window-Based Feature Engineering for Cognitive Workload Detection. - Przemyslaw Spyra, Witold Dzwinel:
Energy-Efficient Deep Learning Without Backpropagation: A Rigorous Evaluation of Forward-Only Algorithms. - Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh:
Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond. - Stephan Oepen, Nikolay Arefev, Mikko Aulamo, Marta Bañón, Maja Buljan, Laurie Burchell, Lucas Georges Gabriel Charpentier, Pinzhen Chen, Mariya Fedorova, Ona de Gibert, Barry Haddow, Jan Hajic, Jindrich Helcl, Andrey Kutuzov, Veronika Laippala, Zihao Li, Risto Luukkonen, Bhavitvya Malik, Vladislav Mikhailov, Amanda Myntti, Dayyán O'Brien, Lucie Poláková, Sampo Pyysalo, Gema Ramírez-Sánchez, Janine Siewert, Pavel Stepachev, Jörg Tiedemann, Teemu Vahtola, Dusan Varis, Fedor Vitiugin, Tea Vojtechová, Jaume Zaragoza-Bernabeu:
HPLT 3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models. - Vrushabh Zinage, Efstathios Bakolas:
Universal Barrier Functions for Safety and Stability of Constrained Nonlinear Systems. - Georg Pichler, Marco Romanelli, Pablo Piantanida:
Happiness as a Measure of Fairness. - Dinh-Hieu Tran, Thai Duong Nguyen, Thanh-Dao Nguyen, Ngoc-Tan Nguyen, Van Nhan Vo, Hung Tran, Mouhamad Chehaitly, Yan Kyaw Tun, Cedomir Stefanovic, Tu Ho Dac, Eva Lagunas, Symeon Chatzinotas, Nguyen Van Huynh:
Quantum Reinforcement Learning for 6G and Beyond Wireless Networks. - Fengxing Zhu:
Sequence Reconstruction over the Deletion Channel. - Xuchuang Wang, Matheus Guedes de Andrade, Guus Avis, Yu-Zhen Janice Chen, Mohammad Hajiesmaili, Don Towsley:
Quantum Network Tomography for General Topology with SPAM Errors. - David McCoy, Yulun Wu, Zachary Butzin-Dozier:
AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs. - Qinwei Huang, Stefan Wang, Simon Khan, Garrett E. Katz, Qinru Qiu:
Predictive Auxiliary Learning for Belief-based Multi-Agent Systems. - Nikolay I. Kalmykov, Razan Dibo, Kaiyu Shen, Zhonghan Xu, Anh Huy Phan, Yipeng Liu, Ivan V. Oseledets:
T-MLA: A Targeted Multiscale Log-Exponential Attack Framework for Neural Image Compression. - Narges Ghasemi, Amir Ziashahabi, Salman Avestimehr, Cyrus Shahabi:
GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction. - Zihan Wang, Jianwen Li, Li-Fan Wu, Nina Mahmoudian:
Deployable Vision-driven UAV River Navigation via Human-in-the-loop Preference Alignment. - Vladimir Martirosyan, Rachit Kamdar:
Do Employee Verification Mechanisms Alter Cultural Signals in Employer Reviews? - Md. Abid Hasan Rafi, Mst. Fatematuj Johora, Pankaj Bhowmik:
SliceVision-F2I: A Synthetic Feature-to-Image Dataset for Visual Pattern Representation on Network Slices. - Vlad Negoita, Mihai Masala, Traian Rebedea:
Improving Romanian LLM Pretraining Data using Diversity and Quality Filtering. - Junqi Zhao, Chenxing Li, Jinzheng Zhao, Rilin Chen, Dong Yu, Mark D. Plumbley, Wenwu Wang:
Feedback-driven Retrieval-augmented Audio Generation with Large Audio Language Models. - Aman Jaglan, Jarrod Barnes:
Continual Learning, Not Training: Online Adaptation For Agents. - Veronica Marsico, Antonio Quintero-Rincón, Hadj Batatia:
Epanechnikov nonparametric kernel density estimation based feature-learning in respiratory disease chest X-ray images. - Marek Strong, Andreas Vlachos:
TSVer: A Benchmark for Fact Verification Against Time-Series Evidence. - Yujian Liu, Jiabao Ji, Yang Zhang, Wenbo Guo, Tommi S. Jaakkola, Shiyu Chang:
HarnessLLM: Automatic Testing Harness Generation via Reinforcement Learning. - Guillaume Rivière:
Defining a Role-Centered Terminology for Physical Representations and Controls. - Y. Isabel Liu, Bowen Li, Benjamin Eysenbach, Tom Silver:
SLAP: Shortcut Learning for Abstract Planning. - Alexander Thorley, Agis Chartsias, Jordan Strom, Jeremy Slivnick, Dipak Kotecha, Alberto Gómez, Jinming Duan:
Anatomically Constrained Transformers for Echocardiogram Analysis. - Farshad Rostami Ghadi, Kai-Kit Wong, Masoud Kaveh, Hanjiang Hong, Chan-Byoung Chae, Lajos Hanzo:
Coverage Analysis and Optimization of FIRES-Assisted NOMA and OMA Systems. - Sebastian Kempf, Frank Puppe:
S2Doc - Spatial-Semantic Document Format. - Max von Hippel:
Verification and Attack Synthesis for Network Protocols. - Takashi Furuya, Anastasis Kratsios, Dylan Possamaï, Bogdan Raonic:
One model to solve them all: 2BSDE families via neural operators. - Fábio Diniz Rossi:
Neuro-Inspired Task Offloading in Edge-IoT Networks Using Spiking Neural Networks. - Fábio Diniz Rossi:
Boosting performance of computer vision applications through embedded GPUs on the edge. - Md Nahiduzzaman, Steven Korevaar, Alireza Bab-Hadiashar, Ruwan B. Tennakoon:
Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis. - Enbo Sun, Yongzhao Wang, Hao Zhou:
Credit Network Modeling and Analysis via Large Language Models. - Kathryn Lindsey, Govind Menon:
Regularization Implies balancedness in the deep linear network. - Yoshihiro Maruyama:
Learning with Category-Equivariant Architectures for Human Activity Recognition. - Valerio La Gatta, Marco Postiglione, Jeremy Gilbert, Daniel W. Linna Jr., Morgan Manella Greenfield, Aaron Shaw, V. S. Subrahmanian:
DEEP: A Discourse Evolution Engine for Predictions about Social Movements. - Ziyi Wang, Yuanmei Zhang, Dorna Esrafilzadeh, Ali R. Jalili, Suncheng Xiang:
MicroAUNet: Boundary-Enhanced Multi-scale Fusion with Knowledge Distillation for Colonoscopy Polyp Image Segmentation. - Md Tanvirul Alam, Dipkamal Bhusal, Salman Ahmad, Nidhi Rastogi, Peter Worth:
AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence. - Shuaidong Pan, Di Wu:
Modular Task Decomposition and Dynamic Collaboration in Multi-Agent Systems Driven by Large Language Models. - Ce Li, Qianfan Zhang, Weiqiang Zheng:
From Best Responses to Learning: Investment Efficiency in Dynamic Environment. - Faquan Chen, Qingyang Tian, Ziren Wu, Rendong Ying, Fei Wen, Peilin Liu:
A High-Throughput Spiking Neural Network Processor Enabling Synaptic Delay Emulation. - Zhen Wang, Bin Lin, Qiang Ye, Yuguang Fang, Xiaoling Han:
Joint Computation Offloading and Resource Allocation for Maritime MEC with Energy Harvesting. - Yunlong Zhu, Chang-An Zhao:
Distributed Matrix Multiplication-Friendly Algebraic Function Fields. - Yongyuan Liang, Wei Chow, Feng Li, Ziqiao Ma, Xiyao Wang, Jiageng Mao, Jiuhai Chen, Jiatao Gu, Yue Wang, Furong Huang:
ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation. - Dong Heon Han, Mayank Mehta, Runze Zuo, Zachary Wanger, Daniel Bruder:
An Enhanced Proprioceptive Method for Soft Robots Integrating Bend Sensors and IMUs. - Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Chiming Duan, Minghua He, Leyi Pan, Zhaoyang Liu, Bolin Ding, Ying Li:
MicroRemed: Benchmarking LLMs in Microservices Remediation. - Brian Nlong Zhao, Jiajun Wu, Shangzhe Wu:
Web-Scale Collection of Video Data for 4D Animal Reconstruction. - Ruofan Zhang, Bin Xia, Zhen Cheng, Cairen Jian, Minglun Yang, Ngai Wong, Yuan Cheng:
DART: Difficulty-Adaptive Reasoning Truncation for Efficient Large Language Models. - Ali Owfi, Amirmohammad Bamdad, Tolunay Seyfi, Fatemeh Afghah:
Adapt under Attack and Domain Shift: Unified Adversarial Meta-Learning and Domain Adaptation for Robust Automatic Modulation Classification. - Xingyu Zhou, Le Liang, Xinjie Li, Jing Zhang, Peiwen Jiang, Xiao Li, Shi Jin:
Conditional Diffusion Model-Enabled Scenario-Specific Neural Receivers for Superimposed Pilot Schemes. - Peng Du, Hui Li, Han Xu, Paul Barom Jeon, Dongwook Lee, Daehyun Ji, Ran Yang, Feng Zhu:
Diffusion Transformer meets Multi-level Wavelet Spectrum for Single Image Super-Resolution. - Wenqing Zhu, Norihiro Yoshida, Eunjong Choi, Yutaka Matsubara, Hiroaki Takada:
An Empirical Study of LLM-Based Code Clone Detection. - Zihao He, Bo Ai, Tongzhou Mu, Yulin Liu, Weikang Wan, Jiawei Fu, Yilun Du, Henrik I. Christensen, Hao Su:
Scaling Cross-Embodiment World Models for Dexterous Manipulation. - Jingyi Shi, Yufeng Chen, Yang Xiao, Yuekang Li, Zhengzi Xu, Sihao Qiu, Chi Zhang, Keyu Qi, Yeting Li, Xingchu Chen, Yanyan Zou, Yang Liu, Wei Huo:
A Large Scale Study of AI-based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners. - Emaad Manzoor, Eva Ascarza, Oded Netzer:
Learning When to Quit in Sales Conversations. - Cuong Van Duc, Thai Tran Quoc, Minh Nguyen Dinh Tuan, Tam Vu Duc, Son Nguyen Van, Hanh Nguyen Thi:
MiRAGE: Misconception Detection with Retrieval-Guided Multi-Stage Reasoning and Ensemble Fusion. - Hainan Fang, Yuanbo Wen, Jun Bi, Yihan Wang, Tonghui He, Yanlin Tang, Di Huang, Jiaming Guo, Rui Zhang, Qi Guo, Yunji Chen:
QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code. - Ruyue Zhang, Xiaopeng Ke, Ming Liu, Fangzhou Shi, Chang Men, Zhengdan Zhu:
A Comparative Study of Model Adaptation Strategies for Multi-Treatment Uplift Modeling. - Lijie Wang, Lianjie Guo, Ziyi Xu, Qianhao Wang, Fei Gao, Xieyuanli Chen:
LiDAR-VGGT: Cross-Modal Coarse-to-Fine Fusion for Globally Consistent and Metric-Scale Dense Mapping. - Muhammed Saeed, Muhammad Abdul-Mageed, Shady Shehata:
Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMs. - Lvhua Wu, Xuefeng Jiang, Sheng Sun, Tian Wen, Yuwei Wang, Min Liu:
ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction.