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ORCIDCoRR, February 2025
Volume 2025-02, February 2025
- Md. Rownak Hossain Chowdhury, Mostafizur Rahman:
Accelerating PageRank Algorithmic Tasks with a new Programmable Hardware Architecture. - Duarte Sampaio de Almeida, Fernando Brito e Abreu, Inês Boavida-Portugal:
Digital twins in tourism: a systematic literature review. - Matteo Pistillo, Pablo Villalobos:
Defending Compute Thresholds Against Legal Loopholes. - Siyi Cao, Linping Zhong, Chao Wang:
The Impact of Student Writing Assessment Literacy on Psychological Factors: An Ordinal Logistic Regression Analysis. - Christina Lukas:
A Study about Distribution and Acceptance of Conversational Agents for Mental Health in Germany: Keep the Human in the Loop? - Kuldeep Singh, Sumanth Cheemalapati, Srikanth Reddy RamiReddy, George Kurian, Prathamesh Muzumdar, Apoorva Muley:
Determinants of Human Development Index (HDI): A Regression Analysis of Economic and Social Indicators. - Prathamesh Muzumdar, Sumanth Cheemalapati, Srikanth Reddy RamiReddy, Kuldeep Singh, George Kurian, Apoorva Muley:
The Dead Internet Theory: A Survey on Artificial Interactions and the Future of Social Media. - Arianna Salazar Miranda, Emily Talen:
Zoning in American Cities: Are Reforms Making a Difference? An AI-based Analysis. - Venkat Ram Reddy Ganuthula:
The Solo Revolution: A Theory of AI-Enabled Individual Entrepreneurship. - Changyong Qi, Linzhao Jia, Yuang Wei, Yuan-Hao Jiang, Xiaoqing Gu:
IntelliChain: An Integrated Framework for Enhanced Socratic Method Dialogue with LLMs and Knowledge Graphs. - Dian Tjondronegoro:
TOAST Framework: A Multidimensional Approach to Ethical and Sustainable AI Integration in Organizations. - Noam Kolt, Michal Shur-Ofry, Reuven Cohen:
Lessons from complexity theory for AI governance. - Richard Lane, Hannah State-Davey, Claire Taylor, Wendy Holmes, Rachel Boon, Mark Round:
Behavioural Analytics: Mathematics of the Mind. - Jyh-An Lee:
Algorithmic Bias and the New Chicago School. - Yutan Huang, Chetan Arora, Wen Cheng Houng, Tanjila Kanij, Anuradha Madulgalla, John Grundy:
Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study. - Ryann Perez, Marie Shimogawa, Yanan Chang, Hoang Anh T. Phan
, Jason G. Marmorstein, Evan S. K. Yanagawa, E. James Petersson:
Large Language Models for Education: ChemTAsk - An Open-Source Paradigm for Automated Q&A in the Graduate Classroom. - Gagaoua Ikram, Armelle Brun, Anne Boyer:
A Frugal Model for Accurate Early Student Failure Prediction. - Yijian Wang, Tongxian Guo, Zhaoqiang Liu:
An Expectation-Maximization Algorithm-based Autoregressive Model for the Fuzzy Job Shop Scheduling Problem. - Abhishek Sharma:
Growth Patterns of Inference. - Abhishek Sharma:
Temporal Reasoning in AI systems. - Trevor McInroe, Samuel Garcin:
PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU. - Xingyu Xiao, Peng Chen, Qianqian Jia, Jiejuan Tong, Jingang Liang, Haitao Wang:
A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs. - Keon Ju Maverick Lee, Philippe Pasquier:
Musical Agent Systems: MACAT and MACataRT. - Abdulaziz Ahmed, Mohammad Saleem, Mohammed Alzeen, Badari Birur, Rachel E. Fargason, Bradley G. Burk, Hannah Rose Harkins, Ahmed Alhassan, Mohammed Ali Al-Garadi:
Leveraging Large Language Models to Enhance Machine Learning Interpretability and Predictive Performance: A Case Study on Emergency Department Returns for Mental Health Patients. - Hui Wang, Yuan Cheng, Xiaomeng Han, Zhengpeng Zhao, Dawei Yang, Zhe Jiang:
Pushing the Limits of BFP on Narrow Precision LLM Inference. - Ankur Singh, Dowon Kim, Byung-Geun Lee:
Analysis of a Memcapacitor-Based for Neural Network Accelerator Framework. - Zhuorui Zhao, Ruidi Qiu, Ing-Chao Lin, Grace Li Zhang, Bing Li, Ulf Schlichtmann:
VRank: Enhancing Verilog Code Generation from Large Language Models via Self-Consistency. - Ignasi Solé:
Evolving Performance Practices in Beethoven's Cello Sonatas: Tempo, Portamento, and Historical Interpretation of the First Movements. - Bin Yang, Zhaonian Zou, Jianxiong Ye:
GNN-based Anchor Embedding for Exact Subgraph Matching. - Connor Shorten, Charles Pierse, Thomas Benjamin Smith, Karel D'Oosterlinck, Tuana Celik, Erika Cardenas, Leonie Monigatti, Mohd Shukri Hasan, Edward Schmuhl, Daniel Williams, Aravind Kesiraju, Bob van Luijt:
Querying Databases with Function Calling. - Simon Schneegans, Lori Neary, Markus Flatken, Andreas Gerndt:
STRIELAD - A Scalable Toolkit for Real-time Interactive Exploration of Large Atmospheric Datasets. - Yassine El Manyari, Anton R. Fuxjäger, Stefan Zahlner, Joost van Dijk, Alberto Castagna, Davide Barbieri, Jan Viebahn, Marcel Wasserer:
Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control. - Md Rakibul Karim Akanda, Joao Raimundo Queiroz Pires Santana De Oliveira Lima, Amaya Alexandria Holmes, Christina Bonner:
Safeguarding the Future of Mobility: Cybersecurity Issues and Solutions for Infrastructure Associated with Electric Vehicle Charging. - William Marfo, Deepak K. Tosh, Shirley V. Moore:
Efficient Client Selection in Federated Learning. - François G. Meyer:
The Best Soules Basis for the Estimation of a Spectral Barycentre Network. - Jiaming Cui, Bijaya Adhikari, Arash Haddadan, A. S. M. Ahsan-Ul-Haque, Jilles Vreeken, Anil Vullikanti, B. Aditya Prakash:
Accurately Estimating Unreported Infections using Information Theory. - Thomas Lautenbacher, Ali Rajaei, Davide Barbieri, Jan Viebahn, Jochen L. Cremer:
Multi-Objective Reinforcement Learning for Power Grid Topology Control. - Taaha Saleem Bajwa:
MALT: Mechanistic Ablation of Lossy Translation in LLMs for a Low-Resource Language: Urdu. - Hao Lyu, Yanyong Guo, Pan Liu, Nan Zheng, Ting Wang:
A scalable adaptive deep Koopman predictive controller for real-time optimization of mixed traffic flow. - Daniel Pahr, Henry Ehlers, Velitchko Filipov:
HoloGraphs: An Interactive Physicalization for Dynamic Graphs. - Yi Mao, Andrew Perrault:
Restless Multi-armed Bandits under Frequency and Window Constraints for Public Service Inspections. - Tom Wallace, Naser Ezzati-Jivan, Beatrice M. Ombuki-Berman:
Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models. - Armand Foucault, Franck Mamalet, François Malgouyres:
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs. - Colin Sisate, Alistair Goldfinch, Vincent Waterstone, Sebastian Kingsley, Mariana Blackthorn:
Contextually Entangled Gradient Mapping for Optimized LLM Comprehension. - Sandip Sharan Senthil Kumar, Sandeep Thalapanane, Guru Nandhan Appiya Dilipkumar Peethambari, Sourang SriHari, Laura Zheng, Ming C. Lin:
DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy. - Bowen Jing, Jing Wang:
A two-stage dual-task learning strategy for early prediction of pathological complete response to neoadjuvant chemotherapy for breast cancer using dynamic contrast-enhanced magnetic resonance images. - Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon, Agnès Desolneux, Mathilde Mougeot:
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application. - Xiucheng Wang, Xuan Zhao, Nan Cheng:
Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming. - Ljubisa Bojic, Zorica A. Dodevska, Yashar Deldjoo, Nenad Pantelic:
Towards Recommender Systems LLMs Playground (RecSysLLMsP): Exploring Polarization and Engagement in Simulated Social Networks. - Seiji Uenohara, Satoshi Awamura, Norio Hattori:
CuLD: Current-Limiting Differential Reading Circuit for Current-Based Compute-in-Memory. - Karishma Thakrar, Aniket Chauhan:
GitHub Stargazers | Building Graph- and Edge-level Prediction Algorithms for Developer Social Networks. - Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu:
Large Language Models are Few-shot Multivariate Time Series Classifiers. - Despoina Antonakaki, Sotiris Ioannidis:
Israel-Hamas war through Telegram, Reddit and Twitter. - Qian Fu, Yuzhe Zhang, Yanfeng Shu, Ming Ding, Lina Yao, Chen Wang:
From Data to Action: Charting A Data-Driven Path to Combat Antimicrobial Resistance. - Malak Mohamed, Rokaia Emad, Ali Hamdi:
A Multi-Layered Large Language Model Framework for Disease Prediction. - Jie Lin, David Mohaisen:
Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows. - Brianna M. White, Rameshwari Prasad, Nariman Ammar, Jason Yaun, Arash Shaban-Nejad:
Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review. - Muhammad Hassan, Abdullah Ghani, Muhammad Fareed Zaffar, Masooda N. Bashir:
Decoding User Concerns in AI Health Chatbots: An Exploration of Security and Privacy in App Reviews. - Robert Marlin, Raja Jurdak, Alsharif Abuadbba, Dimity Miller:
Privacy Preserving Charge Location Prediction for Electric Vehicles. - Yuanlin Yang:
Large Capacity Data Hiding in Binary Image black and white mixed regions. - Pat Pataranutaporn, Nattavudh Powdthavee, Pattie Maes:
Can AI Solve the Peer Review Crisis? A Large Scale Experiment on LLM's Performance and Biases in Evaluating Economics Papers. - Kamile Lukosiute, Adam Swanda:
LLM Cyber Evaluations Don't Capture Real-World Risk. - Dong-Hee Paek, Seung-Hyun Kong:
SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection. - Qizhen Zhang, Prajjwal Bhargava, Chloe Bi, Chris X. Cai, Jakob Foerster, Jeremy Fu, Punit Singh Koura, Ruan Silva, Sheng Shen, Emily Dinan, Suchin Gururangan, Mike Lewis:
BTS: Harmonizing Specialized Experts into a Generalist LLM. - Bidossessi Emmanuel Agossou, Marius Pedersen, Kiran B. Raja, Anuja Vats, Pål Anders Floor:
Influence of color correction on pathology detection in Capsule Endoscopy. - Unai Antero, Basilio Sierra, Jon Oñativia, Alejandra Ruiz, Eneko Osaba:
Robot localization aided by quantum algorithms. - Mateus de Souza Miranda, Ronny Hänsch, Valdivino Alexandre de Santiago Júnior, Thales Sehn Körting, Erison Carlos dos Santos Monteiro:
CerraData-4MM: A multimodal benchmark dataset on Cerrado for land use and land cover classification. - Brian J. Chan, Jui-Hung Cheng, Mao Xun Huang, Chao-Ting Chen, Hen-Hsen Huang:
Efficient Beam Search for Large Language Models Using Trie-Based Decoding. - Ahmed M. Salih:
Re-Visiting Explainable AI Evaluation Metrics to Identify The Most Informative Features. - Yinghao Li, Vianne Gao, Chao Zhang, MohamadAli Torkamani:
Ensembles of Low-Rank Expert Adapters. - Logan Born, M. Willis Monroe, Kathryn Kelley, Anoop Sarkar:
Disambiguating Numeral Sequences to Decipher Ancient Accounting Corpora. - Ahmed Heakl, Sara Ghaboura, Omkar Thawakar, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan:
AIN: The Arabic INclusive Large Multimodal Model. - Joe Suk, Jung-hun Kim:
Tracking Most Significant Shifts in Infinite-Armed Bandits. - Javier Bernal, Jose Torres-Jimenez:
SAGRAD: A Program for Neural Network Training with Simulated Annealing and the Conjugate Gradient Method. - Aaron Hao Tan, Angus Fung, Haitong Wang, Goldie Nejat:
Mobile Robot Navigation Using Hand-Drawn Maps: A Vision Language Model Approach. - Richard Cheng, Chavdar Papozov, Daniel M. Helmick, Mark Tjersland:
A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration. - Daniel Pluth, Yu Zhou, Vijay K. Gurbani:
Sparse Autoencoder Insights on Voice Embeddings. - Rachel Mikulinsky, Morris Alper, Shai Gordin, Enrique Jiménez, Yoram Cohen, Hadar Averbuch-Elor:
ProtoSnap: Prototype Alignment for Cuneiform Signs. - Soumik Dey, Wei Zhang, Hansi Wu, Bingfeng Dong, Binbin Li:
Middleman Bias in Advertising: Aligning Relevance of Keyphrase Recommendations with Search. - Fabian Vazquez, Jose Angel Nuñez, Xiaoyan Fu, Pengfei Gu, Bin Fu:
Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8. - Edward Y. Chang:
A Three-Branch Checks-and-Balances Frameworkfor Context-Aware Ethical Alignment of Large Language Models. - Christopher A. Esterhuyse, Tim Müller, L. Thomas van Binsbergen:
JustAct+: Justified and Accountable Actions in Policy-Regulated, Multi-Domain Data Processing. - Jianhua Mo, Ahmad AlAmmouri, Shenggang Dong, Younghan Nam, Wonsuk Choi, Gary Xu, Jianzhong Zhang:
Beamforming with Joint Phase and Time Array: System Design, Prototyping and Performance. - Qin Jiang, Chengjia Wang, Michael Lones, Wei Pang:
Demystifying MPNNs: Message Passing as Merely Efficient Matrix Multiplication. - Patatchona Keyela, Soumaya Cherkaoui:
Open RAN Slicing with Quantum Optimization. - David Speck, Markus Hecher, Daniel Gnad, Johannes Klaus Fichte, Augusto B. Corrêa:
Counting and Reasoning with Plans. - Denis Los:
Efficient Read-Port-Count Reduction Schemes for the Centralized Physical Register File in a Superscalar Microprocessor. - Aris Filos-Ratsikas, Vasilis Gkatzelis, Mohamad Latifian, Emma Rewinski, Alexandros A. Voudouris:
Optimal Metric Distortion for Matching on the Line. - Alen Alexanderian, Hugo Díaz, Vishwas Rao, Arvind K. Saibaba:
Optimal sensor placement under model uncertainty in the weak-constraint 4D-Var framework. - Ran Ginosar:
Theoretical complexity analysis of many-cores on a single chip. - Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah:
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition. - Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, Jundong Li, Haifeng Chen:
Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating. - Eron Ristich, Lei Zhang, Yi Ren, Jiefeng Sun:
Physics-informed Split Koopman Operators for Data-efficient Soft Robotic Simulation. - Ibrahim Yazici, Ivan Yotov:
Multipoint stress mixed finite element methods for elasticity on cuboid grids. - Omur Sahin, Man Zhang, Andrea Arcuri:
Causes and Effects of Fitness Landscapes in System Test Generation: A Replication Study. - Jizhou Huang, Brendan Juba:
Distribution-Specific Agnostic Conditional Classification With Halfspaces. - Rohan Chacko, Nicolai Häni, Eldar Khaliullin, Lin Sun, Douglas Lee:
Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation. - Guilherme H. Bandeira Costa, Miguel Freire, Arlindo L. Oliveira:
The role of positional encodings in the ARC benchmark. - Eirini Schoinas, Adyah Rastogi, Anissa Carter, Jacob Granley, Michael Beyeler:
Evaluating Deep Human-in-the-Loop Optimization for Retinal Implants Using Sighted Participants. - Roi Benita, Michael Elad, Joseph Keshet:
Designing Scheduling for Diffusion Models via Spectral Analysis. - Jungwon Seo, Ferhat Özgür Çatak, Chunming Rong:
Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study. - Prakash Poudel, Raghvendra V. Cowlagi:
Optimal Coupled Sensor Placement and Path-Planning in Unknown Time-Varying Environments. - Thu Bui, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof:
On the Effectiveness of Random Weights in Graph Neural Networks. - Armando Castañeda, Gilde Valeria Rodríguez:
Asynchronous Fault-Tolerant Language Decidability for Runtime Verification of Distributed Systems. - Maximilian Egger, Mayank Bakshi, Rawad Bitar:
Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning. - Shaik Althaf Veluthedath Shajihan, Kirill Mechitov, Girish Chowdhary, Billie F. Spencer Jr.:
Physics-Informed Neural Network based Damage Identification for Truss Railroad Bridges. - Abdurrahim Yilmaz, Furkan Yuceyalcin, Ece Gokyayla, Donghee Choi, Ozan Erdem Ali Anil Demircali, Rahmetullah Varol, Ufuk Gorkem Kirabali, Gulsum Gencoglan, Joram M. Posma, Burak Temelkuran:
DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets. - Yingshan Chang, Yonatan Bisk:
Model Successor Functions. - Luyang Zhang, Cathy Jiao, Beibei Li, Chenyan Xiong:
Fairshare Data Pricing for Large Language Models. - Xiuzhen Ye, Wentao Tang:
Optimal Construction of Data Injection Attacks on Process Systems. - Yisong Chen, Chuqing Zhao, Yixin Xu, Chuanhao Nie:
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review. - Hyeok Kim, Mingyoung Jessica Jeng, Kaitlin N. Smith:
Toward Human-Quantum Computer Interaction: Interface Techniques for Usable Quantum Computing. - Shengyang Sun, Yian Zhang, Alexander Bukharin, David Mosallanezhad, Jiaqi Zeng, Soumye Singhal, Gerald Shen, Adithya Renduchintala, Tugrul Konuk, Yi Dong, Zhilin Wang, Dmitry Chichkov, Olivier Delalleau, Oleksii Kuchaiev:
Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment. - Maria-Florina Balcan, Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Keegan Harris, Zhiwei Steven Wu:
Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information. - Omar Hesham Khater, Abdul Jabbar Siddiqui, M. Shamim Hossain:
EcoWeedNet: A Lightweight and Automated Weed Detection Method for Sustainable Next-Generation Agricultural Consumer Electronics. - Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gündüz:
BICompFL: Stochastic Federated Learning with Bi-Directional Compression. - Ana Granados, Kostadin Koroutchev, Francisco de Borja Rodríguez:
Discovering Dataset Nature through Algorithmic Clustering based on String Compression. - Kefan Dong, Tengyu Ma:
STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving. - Akiyoshi Tomihari, Issei Sato:
Understanding Why Adam Outperforms SGD: Gradient Heterogeneity in Transformers. - Fabio Spada, Purnanand Elango, Behçet Açikmese:
Impulsive Relative Motion Control with Continuous-Time Constraint Satisfaction for Cislunar Space Missions. - Negar Hassanpour, Muhammad Kamran Janjua, Kunlin Zhang, Sepehr Lavasani, Xiaowen Zhang, Chunhua Zhou, Chao Gao:
Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone. - Yiling Lin, Linzhuo Li, Lingfei Wu:
Team Size and Its Negative Impact on the Disruption Index. - Guillermo Sarasa, Ana Granados, Francisco B. Rodríguez:
Algorithmic Clustering based on String Compression to Extract P300 Structure in EEG Signals. - Jocelyn Shen, Audrey Lee, Sharifa Alghowinem, River Adkins, Cynthia Breazeal, Hae Won Park:
Social Robots as Social Proxies for Fostering Connection and Empathy Towards Humanity. - Conor Power, Paraschos Koutris, Joseph M. Hellerstein:
The Free Termination Property of Queries Over Time. - Paul Wild, Lutz Schröder:
Behavioural Conformances based on Lax Couplings. - Keegan Harris, Aleksandrs Slivkins:
Should You Use Your Large Language Model to Explore or Exploit? - Jun Xing, Mayur Bhatia, Sahil Phulwani, Darshan Suresh, Rafik Matta:
HackerRank-ASTRA: Evaluating Correctness & Consistency of Large Language Models on cross-domain multi-file project problems. - Hadi Keramati, Feridun Hamdullahpur:
AK-SLRL: Adaptive Krylov Subspace Exploration Using Single-Life Reinforcement Learning for Sparse Linear System. - Yuanyuan Yang, Ruimin Zhang, Jamie Morgenstern, Haifeng Xu:
Markovian Pandora's box. - Jiyao Wang, Youyu Sheng, Qihang He, Haolong Hu, Shuwen Liu, Feiqi Gu, Yumei Jing, Dengbo He:
Enhancing Psychotherapeutic Alliance in College: When and How to Integrate Multimodal Large Language Models in Psychotherapy. - Mehdi Nickzamir, Seyed Mohammad Sheikh Ahamdi Gandab:
A Hybrid Random Forest and CNN Framework for Tile-Wise Oil-Water Classification in Hyperspectral Images. - Mahdi Chalaki, Amir Zakerimanesh, Abed Soleymani, Vivian Mushahwar, Mahdi Tavakoli:
Vision-Based Fuzzy Control System for Smart Walkers: Enhancing Usability for Stroke Survivors with Unilateral Upper Limb Impairments. - Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying:
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms. - Usman Gohar, Michael C. Hunter, Myra B. Cohen, Robyn R. Lutz:
A Taxonomy of Real-World Defeaters in Safety Assurance Cases. - Shiqi He, Insu Jang, Mosharaf Chowdhury:
Mordal: Automated Pretrained Model Selection for Vision Language Models. - Shuvam Chakraborty, Ahmed Bedewy, Wenjun Li, Navid Abedini:
Digital-Twin assisted Network Energy Optimization during Low Traffic Hours. - Alexandra Gonzalez, J. Nathan Matias:
Measuring the Mental Health of Content Reviewers, a Systematic Review. - Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang:
Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion. - Larin Tonix, Morgana Baskerville, Nathaniel Stourton, Ophelia Tattershall:
Context-Preserving Tensorial Reconfiguration in Large Language Model Training. - Abdullah Rasheed, Nidhi Dubagunta:
Bounding Distance Between Outputs in Distributed Lattice Agreement. - Takumu Fujioka, Gouhei Tanaka:
Transformer-Based Vector Font Classification Using Different Font Formats: TrueType versus PostScript. - Hongyi Liu, Rajarshi Saha, Zhen Jia, Youngsuk Park, Jiaji Huang, Shoham Sabach, Yu-Xiang Wang, George Karypis:
ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs. - Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia:
Strong Equilibria in Bayesian Games with Bounded Group Size. - Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David K. Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov:
Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing. - Dianwei Chen, Zifan Zhang, Yuchen Liu, Xianfeng Terry Yang:
INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation. - Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li:
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion. - Marcos Martínez Romero, Matthew Horridge, Nilesh Mistry, Aubrie Weyhmiller, Jimmy K. Yu, Alissa Fujimoto, Aria Henry, Martin J. O'Connor, Ashley Sier, Stephanie Suber, Mete Ugur Akdogan, Yan Cao, Somu Valliappan, Joanna O. Mieczkowska, RADx Data Hub team, Ashok Krishnamurthy, Michael A. Keller, Mark A. Musen:
RADx Data Hub: A Cloud Platform for FAIR, Harmonized COVID-19 Data. - Yuwei Sun, Lu Mi, Ippei Fujisawa, Ryota Kanai:
MCM: Multi-layer Concept Map for Efficient Concept Learning from Masked Images. - Chungman Lim, Gyeongdeok Kim, Su-Yeon Kang, Hasti Seifi, Gunhyuk Park:
Can a Machine Feel Vibrations?: A Framework for Vibrotactile Sensation and Emotion Prediction via a Neural Network. - Zhiliang Chen, Gregory Kang Ruey Lau, Chuan-Sheng Foo, Bryan Kian Hsiang Low:
DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks. - Fei Yu, Yingru Li, Benyou Wang:
Scaling Flaws of Verifier-Guided Search in Mathematical Reasoning. - Mohammad Moltafet, Hamid R. Sadjadpour, Zouheir Rezki, Marian Codreanu, Roy D. Yates:
AoI in M/G/1/1 Queues with Probabilistic Preemption. - Keshav Bimbraw, Srikar Nekkanti, Daniel B. Tiller II, Mihir Deshmukh, Berk Çalli, Robert D. Howe, Haichong K. Zhang:
Simultaneous Estimation of Manipulation Skill and Hand Grasp Force from Forearm Ultrasound Images. - Shengyu Feng, Yiming Yang:
Regularized Langevin Dynamics for Combinatorial Optimization. - Khiem Pham, Charles Herrmann, Ramin Zabih:
Improving realistic semi-supervised learning with doubly robust estimation. - Juan Daniel Meshir, Abel Palafox, Edgar Alejandro Guerrero:
On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs. - Fanqi Yan, Huy Nguyen, Pedram Akbarian, Nhat Ho, Alessandro Rinaldo:
Sigmoid Self-Attention is Better than Softmax Self-Attention: A Mixture-of-Experts Perspective. - Md. Atik Ahamed, Andrew Cheng, Qiang Ye, Qiang Shawn Cheng:
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture. - Liuging Chen, Yaxuan Song, Jia Guo, Lingyun Sun, Peter R. N. Childs, Yuan Yin:
How Generative AI supports human in conceptual design. - Yanchuan Chang, Xu Cai, Christian S. Jensen, Jianzhong Qi:
K Nearest Neighbor-Guided Trajectory Similarity Learning. - Aikaterini Maria Panteleaki, Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch, Iraklis Anagnostopoulos:
Late Breaking Results: Leveraging Approximate Computing for Carbon-Aware DNN Accelerators. - Jijia Liu, Feng Gao, Qingmin Liao, Chao Yu, Yu Wang:
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network. - Anirban Mukherjee, Hannah Hanwen Chang:
Agentic AI: Autonomy, Accountability, and the Algorithmic Society. - Huan Ma, Jingdong Chen, Guangyu Wang, Changqing Zhang:
Estimating LLM Uncertainty with Logits. - Hamidreza Abin, Amin Gohari:
On the Source Model Key Agreement Problem. - Alexander Moreno, Justin Xiao, Jonathan Mei:
The Price of Linear Time: Error Analysis of Structured Kernel Interpolation. - Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Bo Li, Xuming Hu, Xiaowen Chu:
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference. - Israt Jahan, John S. Schreck, David John Gagne, Charlie Becker, Marina Astitha:
Uncertainty Quantification of Wind Gust Predictions in the Northeast US: An Evidential Neural Network and Explainable Artificial Intelligence Approach. - Alistair Dombrowski, Beatrix Engelhardt, Dimitri Fairbrother, Henry Evidail:
Contextual Morphogenesis in Large Language Models: A Novel Approach to Self-Organizing Token Representations. - Ke Deng, Hanwen Zhang, Jin Lu, Haijian Sun:
HoP: Homeomorphic Polar Learning for Hard Constrained Optimization. - Jiaxin Guo, C. L. Philip Chen, Shuzhen Li, Tong Zhang:
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning. - Ali Naseh, Yuefeng Peng, Anshuman Suri, Harsh Chaudhari, Alina Oprea, Amir Houmansadr:
Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation. - Mengfei Xia, Yu Zhou, Ran Yi, Yong-Jin Liu, Wenping Wang:
A Diffusion Model Translator for Efficient Image-to-Image Translation. - Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition. - David H. Yang, Mohammad Mohammadi Amiri, Tejaswini Pedapati, Subhajit Chaudhury, Pin-Yu Chen:
Sparse Gradient Compression for Fine-Tuning Large Language Models. - Hadi Hosseini, Samarth Khanna:
Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values. - Jihyeok Kim, Seongwoo Moon, Sungwon Nah, David Hyunchul Shim:
MonoDINO-DETR: Depth-Enhanced Monocular 3D Object Detection Using a Vision Foundation Model. - Ali Dasdan:
The Kernighan-Lin Search Algorithm. - Yehyun Nam, Jihoon Jang, Kunsoo Park, Jianye Yang, Cheng Long:
DIST: Efficient k-Clique Listing via Induced Subgraph Trie. - Chenhui Xu, Dancheng Liu, Yuting Hu, Jiajie Li, Ruiyang Qin, Qingxiao Zheng, Jinjun Xiong:
Sub-Sequential Physics-Informed Learning with State Space Model. - Dong Yang, Yue Wang, Songyang Zhang, Yingshu Li, Zhipeng Cai:
Physics-Inspired Distributed Radio Map Estimation. - Emily Gan, Yassir Jedra, Devavrat Shah:
k-SVD with Gradient Descent. - Bencheng Yan, Si Chen, Shichang Jia, Jianyu Liu, Yueran Liu, Chenghan Fu, Wanxian Guan, Hui Zhao, Xiang Zhang, Kai Zhang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu:
MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling. - Nishant Balepur, Alexa F. Siu, Nedim Lipka, Franck Dernoncourt, Tong Sun, Jordan L. Boyd-Graber, Puneet Mathur:
MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections. - Jiani Zhang, Hengrui Zhang, Rishav Chakravarti, Yiqun Hu, Patrick Ng, Asterios Katsifodimos, Huzefa Rangwala, George Karypis, Alon Y. Halevy:
CoddLLM: Empowering Large Language Models for Data Analytics. - Xingchen Wan, Han Zhou, Ruoxi Sun, Hootan Nakhost, Ke Jiang, Sercan Ö. Arik:
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation. - Kai Liu, Kaicheng Yang, Zheng Chen, Zhiteng Li, Yong Guo, Wenbo Li, Linghe Kong, Yulun Zhang:
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution. - Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang, Shizhe Diao, Can Yang, Yang Wang:
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models. - Anand Jerry George, Rodrigo Veiga, Nicolas Macris:
Denoising Score Matching with Random Features: Insights on Diffusion Models from Precise Learning Curves. - Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Qing Li, Hui Xiong, Xiaomeng Huang:
OneForecast: A Universal Framework for Global and Regional Weather Forecasting. - Jingyuan Yi, Zeqiu Xu, Tianyi Huang, Peiyang Yu:
Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions. - Di Chai, Pengbo Li, Feiyuan Zhang, Yilun Jin, Han Tian, Junxue Zhang, Kai Chen:
Enhancing Token Filtering Efficiency in Large Language Model Training with Collider. - Jason Jabbour, Kai Kleinbard, Olivia Miller, Robert Haussman, Vijay Janapa Reddi:
SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility. - Zechuan Li, Hongshan Yu, Yihao Ding, Yan Li, Yong He, Naveed Akhtar:
Embodied Intelligence for 3D Understanding: A Survey on 3D Scene Question Answering. - Ahmed M. Abdelmoniem, Sameh Abdulah, Walid Atwa:
A Novel Approach to Translate Structural Aggregation Queries to MapReduce Code. - Kosei Kobayashi, Kosuke Matsuzaki, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui, Kentaro Abe:
FinchGPT: a Transformer based language model for birdsong analysis. - Yurui Li, Yuxuan Chen, Li Zhang, Shijian Li, Gang Pan:
The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning. - Bakhtiar Muiz, Abdul Hasib, Md. Faishal Ahmed, Abdullah Al Zubaer, Rakib Hossen, Mst Deloara Khushi, Anichur Rahman:
IoT-enabled Drowsiness Driver Safety Alert System with Real-Time Monitoring Using Integrated Sensors Technology. - Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Personalized Denoising Implicit Feedback for Robust Recommender System. - Zhongming Yu, Hejia Zhang, Yujie Zhao, Hanxian Huang, Matrix Yao, Ke Ding, Jishen Zhao:
OrcaLoca: An LLM Agent Framework for Software Issue Localization. - Yao Liu, Zhilan Liu, Tien Ping Tan, Yuxin Li:
Multi-Order Hyperbolic Graph Convolution and Aggregated Attention for Social Event Detection. - Ye Han, Lijun Zhang, Dejian Meng:
A Differentiated Reward Method for Reinforcement Learning based Multi-Vehicle Cooperative Decision-Making Algorithms. - Yu Feng, Yangli-ao Geng, Yifan Zhu, Zongfu Han, Xie Yu, Kaiwen Xue, Haoran Luo, Mengyang Sun, Guangwei Zhang, Meina Song:
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning. - Anand Jerry George, Nicolas Macris:
Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations. - Zipei Geng, Sameh Abdulah, Ying Sun, Hatem Ltaief, David E. Keyes, Marc G. Genton:
GPU-Accelerated Modified Bessel Function of the Second Kind for Gaussian Processes. - Jia Li, Wenjie Zhao, Ziru Huang, Yunhui Guo, Yapeng Tian:
Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? - Wanghan Xu, Xiaoyu Yue, Zidong Wang, Yao Teng, Wenlong Zhang, Xihui Liu, Luping Zhou, Wanli Ouyang, Lei Bai:
Exploring Representation-Aligned Latent Space for Better Generation. - Liangchen Li, Caoliwen Wang, Yuqi Zhou, Bailin Deng, Juyong Zhang:
Shape from Semantics: 3D Shape Generation from Multi-View Semantics. - Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai:
Soft Diffusion Actor-Critic: Efficient Online Reinforcement Learning for Diffusion Policy. - Mohsen Mohammadagha, Mohammad Najafi, Vinayak Kaushal, Ahmad Mahmoud Ahmad Jibreen:
Machine Learning Models for Reinforced Concrete Pipes Condition Prediction: The State-of-the-Art Using Artificial Neural Networks and Multiple Linear Regression in a Wisconsin Case Study. - Daniel Romero-Alvarado, Fernando Martínez-Plumed, José Hernández-Orallo:
What should an AI assessor optimise for? - Zhixi Cai, Fucai Ke, Simindokht Jahangard, Maria Garcia de la Banda, Reza Haffari, Peter J. Stuckey, Hamid Rezatofighi:
NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning. - Amy Xiang Wang, Zakhar Shumaylov, Peter Zaika, Ferdia Sherry, Carola-Bibiane Schönlieb:
Generalized Lie Symmetries in Physics-Informed Neural Operators. - Anna Min, Chenxu Hu, Yi Ren, Hang Zhao:
A Unit-based System and Dataset for Expressive Direct Speech-to-Speech Translation. - Anh-Kiet Duong, Petra Gomez-Krämer:
Scalable Framework for Classifying AI-Generated Content Across Modalities. - Abdul Rehman, Ilona Heldal, Jerry Chun-Wei Lin:
SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks. - Anna Min, Chenxu Hu, Yi Ren, Hang Zhao:
When End-to-End is Overkill: Rethinking Cascaded Speech-to-Text Translation. - Alexander Nikulin, Ilya Zisman, Denis Tarasov, Nikita Lyubaykin, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov:
Latent Action Learning Requires Supervision in the Presence of Distractors. - Bruno Belucci, Karim Lounici, Katia Meziani:
CoHiRF: A Scalable and Interpretable Clustering Framework for High-Dimensional Data. - Abdul Rehman, Ilona Heldal, Diana L. Stilwell, Jerry Chun-Wei Lin:
Towards a Supporting Framework for Neuro-Developmental Disorder: Considering Artificial Intelligence, Serious Games and Eye Tracking. - Sahil Goyal, Debapriya Tula, Gagan Jain, Pradeep Shenoy, Prateek Jain, Sujoy Paul:
Masked Generative Nested Transformers with Decode Time Scaling. - Sengim Karayalcin, Marina Krcek, Stjepan Picek:
It's Not Just a Phase: On Investigating Phase Transitions in Deep Learning-based Side-channel Analysis. - Stefano Civelli, Pietro Bernardelle, Gianluca Demartini:
The Impact of Persona-based Political Perspectives on Hateful Content Detection. - Wenzhen Zhang, Debo Cheng, Guangquan Lu, Bo Zhou, Jiaye Li, Shichao Zhang:
Efficient Adaptive Label Refinement for Label Noise Learning. - Lucius Caviola:
The Societal Response to Potentially Sentient AI. - Zhichao Sun, Yepeng Liu, Huachao Zhu, Yuliang Gu, Yuda Zou, Zelong Liu, Gui-Song Xia, Bo Du, Yongchao Xu:
RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes. - Abdul-Lateef Haji-Ali, Håkon Hoel, Andreas Petersson:
The multi-index Monte Carlo method for semilinear stochastic partial differential equations. - Maximilian Leitenstern, Marko Alten, Christian Bolea-Schaser, Dominik Kulmer, Marcel Weinmann, Markus Lienkamp:
FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps. - Zhaole Sun, Xiao Gao, Xiaofeng Mao, Jihong Zhu, Aude Billard, Robert B. Fisher:
Dexterous Cable Manipulation: Taxonomy, Multi-Fingered Hand Design, and Long-Horizon Manipulation. - Rohit Girmaji, Siddharth Jain, Bhav Beri, Sarthak Bansal, Vineet Gandhi:
Minimalistic Video Saliency Prediction via Efficient Decoder & Spatio Temporal Action Cues. - Donghyun Yoon, Minwoo Jeong, Jinyong Lee, Seyun Kim, Yoonjin Yoon:
Integrating Urban Air Mobility with Highway Infrastructure: A Strategic Approach for Vertiport Location Selection in the Seoul Metropolitan Area. - Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos:
Spectro-Riemannian Graph Neural Networks. - Walter Zimmer, Ross Greer, Xingcheng Zhou, Rui Song, Marc Pavel, Daniel Lehmberg, Ahmed Alaaeldin Ghita, Akshay Gopalkrishnan, Mohan M. Trivedi, Alois Knoll:
Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors. - Rongchang Lu, Changyu Li, Donghang Li, Guojing Zhang, Jianqiang Huang, Xilai Li:
Exploring Linear Attention Alternative for Single Image Super-Resolution. - Debdeep Sanyal, Murari Mandal:
ALU: Agentic LLM Unlearning. - Gabriele D'Acunto, Fabio Massimo Zennaro, Yorgos Felekis, Paolo Di Lorenzo:
Causal Abstraction Learning based on the Semantic Embedding Principle. - Clovis Varangot-Reille, Christophe Bouvard, Antoine Gourru, Mathieu Ciancone, Marion Schaeffer, François Jacquenet:
Doing More with Less - Implementing Routing Strategies in Large Language Model-Based Systems: An Extended Survey. - Ziyu Wang, Tengyu Pan, Zhenyu Li, Wu Ji, Xiuxing Li, Jianyong Wang:
TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding. - Ozkan Canay, Ümit Kocabiçak:
Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework. - Hasin Jawad Ali, Ajwad Abrar, Md Shakhawat Hossain, Muhammad Firoz Mridha:
Social media polarization during conflict: Insights from an ideological stance dataset on Israel-Palestine Reddit comments. - A. Padmaprabhan, Shriram Hari, Nived Philip Thomas, Khaish Singh Chadha, Sai Sidhardh, Viswanath Chinthapenta, Prabhat Kumar:
GO-GAN: Geometry Optimization Generative Adversarial Network for Achieving Optimized Structures with Targeted Physical Properties. - Carolin Teuber, Anwai Archit, Constantin Pape:
Parameter Efficient Fine-Tuning of Segment Anything Model. - Turi Abu, Ying Shi, Thomas Fang Zheng, Dong Wang:
Sagalee: an Open Source Automatic Speech Recognition Dataset for Oromo Language. - Elynn Y. Chen, Xi Chen, Wenbo Jing, Xiao Liu:
Stochastic Linear Bandits with Latent Heterogeneity. - Jiangyong Yu, Sifan Zhou, Dawei Yang, Shuo Wang, Shuoyu Li, Xing Hu, Chen Xu, Zukang Xu, Changyong Shu, Zhihang Yuan:
MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization. - Rui Yan, Jingdong Wang, Hongyu Qu, Xiaoyu Du, Dong Zhang, Jinhui Tang, Tieniu Tan:
TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification. - Juliette Zaccour, Reuben Binns, Luc Rocher:
Access Denied: Meaningful Data Access for Quantitative Algorithm Audits. - Shreyas Kumar Parida, Ilias Gerostathopoulos, Justus Bogner:
How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration. - Douglas Dziedzorm Agbeve, Andrey Belogaev, Wim Sandra, Carl Lylon, Jeroen Famaey:
A2P: A Scalable OFDMA Polling Algorithm for Time-Sensitive Wi-Fi Networks. - Matteo Silvestri, Edoardo Gabrielli, Fabrizio Silvestri, Gabriele Tolomei:
Community Membership Hiding via Gradient-based Optimization. - Xinle Cheng, Zhuoming Chen, Zhihao Jia:
CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models. - Alexis de Colnet, Stefan Szeider, Tianwei Zhang:
Compilation and Fast Model Counting beyond CNF. - Chuc Man Duc, Hiromichi Fukui:
SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space Models. - Jiaqi Yan, Ivan Markovsky, John Lygeros:
Secure Data Reconstruction: A Direct Data-Driven Approach. - Yizhe Xiong, Wei Huang, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Zhenpeng Su, Jungong Han, Guiguang Ding:
UniAttn: Reducing Inference Costs via Softmax Unification for Post-Training LLMs. - Cédric Join, Emmanuel Delaleau, Michel Fliess:
Model-Free Predictive Control: Introductory Algebraic Calculations, and a Comparison with HEOL and ANNs. - Taiji Li, Hao Chen, Fei Yu, Yin Zhang:
HERA: Improving Long Document Summarization using Large Language Models with Context Packaging and Reordering. - Aishik Mandal, Tanmoy Chakraborty, Iryna Gurevych:
Towards Privacy-aware Mental Health AI Models: Advances, Challenges, and Opportunities. - Yannis Voet, Espen Sande, Annalisa Buffa:
Mass lumping and stabilization for immersogeometric analysis. - Ray Wai Man Kong, Ding Ning, Theodore Ho Tin Kong:
Line Balancing in the Modern Garment Industry. - Daniel Sikar, Artur d'Avila Garcez, Tillman Weyde:
Explorations of the Softmax Space: Knowing When the Neural Network Doesn't Know... - Hyunju Kang, Geonhee Han, Yoonjae Jeong, Hogun Park:
AudioGenX: Explainability on Text-to-Audio Generative Models. - Kihwan Ryoo, Hyungtae Lim, Hyun Myung:
MambaGlue: Fast and Robust Local Feature Matching With Mamba. - Zhiyu Liu, Zhi Han, Yandong Tang, Hai Zhang, Shaojie Tang, Yao Wang:
Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent. - David Gimeno-Gómez, Carlos D. Martínez-Hinarejos:
Evaluation of End-to-End Continuous Spanish Lipreading in Different Data Conditions. - Shen-Huan Lyu, Yi-Xiao He, Yanyan Wang, Zhihao Qu, Bin Tang, Baoliu Ye:
Enhance Learning Efficiency of Oblique Decision Tree via Feature Concatenation. - Jia-Hua Lee, Bor-Jiun Lin, Wei-Fang Sun, Chun-Yi Lee:
Enhancing Memory and Imagination Consistency in Diffusion-based World Models via Linear-Time Sequence Modeling. - Dibyajyoti Chakraborty, Arvind T. Mohan, Romit Maulik:
Binned Spectral Power Loss for Improved Prediction of Chaotic Systems. - Lichen Bai, Masashi Sugiyama, Zeke Xie:
Weak-to-Strong Diffusion with Reflection. - Timothy James Becker, Derin Gezgin, Jun Yi He Wu, Mary Becker:
A framework for river connectivity classification using temporal image processing and attention based neural networks. - Beatriz Perez, Roberto Mínguez, Raul Guanche:
Offshore wind farm layout optimization using mathematical programming techniques. - Yiming Zhao, Tiziano De Matteis, Justus Bogner:
How Does Microservice Granularity Impact Energy Consumption and Performance? A Controlled Experiment. - Guowu Yuan, Shicai Liu:
Exploration and Practice of Improving Programming Ability for the Undergraduates Majoring in Computer Science. - Laurent Gourvès, Michael Lampis, Nikolaos Melissinos, Aris Pagourtzis:
Satisfactory Budget Division. - Roberto Mínguez, Antonio Tomas, Fernando J. Mendez, Raúl Medina:
Mixed extreme wave climate model for reanalysis databases. - Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao:
Learn Sharp Interface Solution by Homotopy Dynamics. - Jonathan Wenshøj, Bob Pepin, Raghavendra Selvan:
Oscillations Make Neural Networks Robust to Quantization. - Shuyuan Zheng, Sudong Cai, Chuan Xiao, Yang Cao, Jianbin Qin, Masatoshi Yoshikawa, Makoto Onizuka:
Data Overvaluation Attack and Truthful Data Valuation. - Mohammad Saleh Torkestani, Robert Davis, Abdolhossein Sarrafzadeh:
Looking into the Future of Health-Care Services: Can Life-Like Agents Change the Future of Health-Care Services? - Sam Jeong, Hae Yong Kim:
Convolutional Fourier Analysis Network (CFAN): A Unified Time-Frequency Approach for ECG Classification. - Yuxuan Chen, Xu Zhu, Hua Zhou, Zhuyin Ren:
MetaOpenFOAM 2.0: Large Language Model Driven Chain of Thought for Automating CFD Simulation and Post-Processing. - Nikita Shaimov, Irina A. Lomazova, Alexey A. Mitsyuk:
Discovering Directly-Follows Graph Model for Acyclic Processes. - Yang Cao, Zhao Song, Chiwun Yang:
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation. - Bingwei Zhang, Chee Yap:
A Novel Approach to the Initial Value Problem with a complete validated algorithm. - Yi Liu:
A statistically consistent measure of Semantic Variability using Language Models. - Yingxuan Yang, Bo Huang, Siyuan Qi, Chao Feng, Haoyi Hu, Yuxuan Zhu, Jinbo Hu, Haoran Zhao, Ziyi He, Xiao Liu, Zongyu Wang, Lin Qiu, Xuezhi Cao, Xunliang Cai, Yong Yu, Weinan Zhang:
Who's the MVP? A Game-Theoretic Evaluation Benchmark for Modular Attribution in LLM Agents. - Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Xiaoxing Ma, Yu-Feng Li:
Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning. - Koya Yamamoto, Patrick Kelly, Manoranjan Majji, Felipe Guzmán:
Covariance Analysis of Attitude and Angular Rate Estimation using Accelerometers. - Kunal Suresh Pai, Premkumar T. Devanbu, Toufique Ahmed:
CoDocBench: A Dataset for Code-Documentation Alignment in Software Maintenance. - Songhao Wu, Ang Lv, Xiao Feng, Yufei Zhang, Xun Zhang, Guojun Yin, Wei Lin, Rui Yan:
PolarQuant: Leveraging Polar Transformation for Efficient Key Cache Quantization and Decoding Acceleration. - Zachary Huemann, Samuel Church, Joshua D. Warner, Daniel Tran, Xin Tie, Alan B. McMillan, Junjie Hu, Steve Y. Cho, Meghan G. Lubner, Tyler J. Bradshaw:
Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings. - Arijit Khan, Xiangyu Ke, Yinghui Wu:
Graph Data Management and Graph Machine Learning: Synergies and Opportunities. - Xudong Fan, Jürgen Hackl:
Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning. - Martin Joel Mouk Elele, Danilo Pau, Shixin Zhuang, Tullio Facchinetti:
Enhancing Field-Oriented Control of Electric Drives with Tiny Neural Network Optimized for Micro-controllers. - Duygu Vargun, Igor O. Monteiro, Leo G. Rebholz:
Anderson acceleration of a Picard solver for the Oldroyd-B model of viscoelastic fluids. - David Oro, Carles Fernández, Xavier Martorell, Javier Hernando:
Work-Efficient Parallel Non-Maximum Suppression Kernels. - Wenbo Xiao, Zhihao Xu, Guiping Liang, Yangjun Deng, Yi Xiao:
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation. - Md. Mehrab Tanjim, Xiang Chen, Victor S. Bursztyn, Uttaran Bhattacharya, Tung Mai, Vaishnavi Muppala, Akash Maharaj, Saayan Mitra, Eunyee Koh, Yunyao Li, Ken Russell:
Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants. - Antonio Cerrato, José A. González, Luis Rodríguez-Tembleque:
Boundary element formulation of the Mild-Slope Equation for harmonic water waves propagating over unidirectional variable bathymetries. - Mohammad Nazeri, Anuj Pokhrel, Alexandyr Card, Aniket Datar, Garrett Warnell, Xuesu Xiao:
VertiFormer: A Data-Efficient Multi-Task Transformer for Off-Road Robot Mobility. - Xiaotong Tu, Chenyu Ma, Qingyao Wu, Yinhao Liu, Hongyang Zhang:
Integrating Frequency Guidance into Multi-source Domain Generalization for Bearing Fault Diagnosis. - Zaitian Wang, Jian He, Yu Liang, Xiyuan Hu, Tianhao Peng, Kaixin Wang, Jiakai Wang, Chenlong Zhang, Weili Zhang, Shuang Niu, Xiaoyang Xie:
Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition. - Haoyang Zheng, Guang Lin:
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations. - Sirui Li, Federica Bragone, Matthieu Barreau, Tor Laneryd, Kateryna Morozovska:
Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks. - Sydney Dolan, Siddharth Nayak, Jasmine Jerry Aloor, Hamsa Balakrishnan:
Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication. - Mukesh Ghimire, Lei Zhang, Zhe Xu, Yi Ren:
A Scalable Solver for 2p0s Differential Games with One-Sided Payoff Information and Continuous Actions, States, and Time. - Hanna M. Wallach, Meera A. Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alexandra Chouldechova, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nicholas Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs:
Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge. - Benjamin Hope, Jayden Bracey, Sahar Choukir, Derek Warner:
Assessment of ChatGPT for Engineering Statics Analysis. - Renhao Lu:
Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation. - Aditya Johri, Johannes Schleiss, Nupoor Ranade:
Lessons for GenAI Literacy From a Field Study of Human-GenAI Augmentation in the Workplace. - Samiran Dey, Christopher R. S. Banerji, Partha Basuchowdhuri, Sanjoy Kumar Saha, Deepak Parashar, Tapabrata Chakraborti:
Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions. - Umama Dewan, Ashish Hingle, Nora McDonald, Aditya Johri:
Engineering Educators' Perspectives on the Impact of Generative AI in Higher Education. - Hossein Aghagolzadeh, Mehdi Ezoji:
Contrastive Forward-Forward: A Training Algorithm of Vision Transformer. - Khashayar Ghanizadegan, Hashim A. Hashim:
DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net. - Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li:
Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach. - Stuart Armstrong, Matija Franklin, Connor Stevens, Rebecca Gormann:
Defense Against the Dark Prompts: Mitigating Best-of-N Jailbreaking with Prompt Evaluation. - Luca Morando, Sanket A. Salunkhe, Nishanth Bobbili, Jeffrey Mao, Luca Masci, Hung Nguyen, Cristino de Souza, Giuseppe Loianno:
Trajectory Planning and Control for Differentially Flat Fixed-Wing Aerial Systems. - Anna Seo Gyeong Choi, Jonghyeon Park, Myungwoo Oh:
Data-Driven Mispronunciation Pattern Discovery for Robust Speech Recognition. - Jie Zhang, Kuan-Chieh Wang, Bo-Wei Chiu, Min-Te Sun:
Converting Transformers into DGNNs Form. - Nimesha Wickramasinghe, Arash Shaghaghi, Elena Ferrari, Sanjay K. Jha:
Less is More: Simplifying Network Traffic Classification Leveraging RFCs. - Ebtisaam Alharbi, Leandro Soriano Marcolino, Qiang Ni, Antonios Gouglidis:
Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks. - Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He:
M+: Extending MemoryLLM with Scalable Long-Term Memory. - Ryan Bahlous-Boldi, Maxence Faldor, Luca Grillotti, Hannah Janmohamed, Lisa Coiffard, Lee Spector, Antoine Cully:
Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity. - Saarthak Kapse, Robin Betz, Srinivasan Sivanandan:
Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing. - Pengfei Yu, Dongming Shen, Silin Meng, Jaewon Lee, Weisu Yin, Andrea Yaoyun Cui, Zhenlin Xu, Yi Zhu, Xingjian Shi, Mu Li, Alex Smola:
RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines. - Boris Alexeev, Dustin G. Mixon:
Rewinding the byte trail of the White Whale. - Jose Rocher-Gonzalez, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, Gaspar Mora:
Towards an Efficient Combination of Adaptive Routing and Queuing Schemes in Fat-Tree Topologies. - Amir Abolfazli, Zekun Song, Avishek Anand, Wolfgang Nejdl:
Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation. - Tianci Liu, Zihan Dong, Linjun Zhang, Haoyu Wang, Jing Gao:
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing. - Jincao Zhu, Jacobus E. van der Merwe, Xenofon Foukas, Bozidar Radunovic:
Hades: Hierarchical Adaptable Decoding for Efficient and Elastic vRAN. - Sifan Wang, Ananyae Kumar Bhartari, Bowen Li, Paris Perdikaris:
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective. - Mahshad Shariatnasab, Stefano Rini, Farhad Shirani, S. Sitharama Iyengar:
The Query/Hit Model for Sequential Hypothesis Testing. - Shaddin Dughmi:
PAC Learning is just Bipartite Matching (Sort of). - Carsten Carstensen, Norbert Heuer:
Normal-normal continuous symmetric stress approximation in three-dimensional linear elasticity. - Rajat Keshri, Arun George Zachariah, Michael Boone:
Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation. - Chang Tian, Mingzhe Xing, Zenglin Shi, Matthew B. Blaschko, Yinliang Yue, Marie-Francine Moens:
Using Causality for Enhanced Prediction of Web Traffic Time Series. - Antonio Cerrato, Luis Rodríguez-Tembleque, José A. González, M. H. Ferri Aliabadi:
A coupled finite and boundary spectral element method for linear water-wave propagation problems. - Kazi Amit Hasan, Jerin Yasmin, Huizi Hao, Yuan Tian, Safwat Hassan, Steven H. H. Ding:
Understanding Abandonment and Slowdown Dynamics in the Maven Ecosystem. - Jose Rocher-Gonzalez, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles:
Congestion Management in High-Performance Interconnection Networks Using Adaptive Routing Notifications. - Gabriel Lindenmaier, Sean Papay, Sebastian Padó:
Efficient Language Modeling for Low-Resource Settings with Hybrid RNN-Transformer Architectures. - Chiyuan He, Zihuan Qiu, Fanman Meng, Linfeng Xu, Qingbo Wu, Hongliang Li:
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models. - Yihao Xue, Jiping Li, Baharan Mirzasoleiman:
Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions. - Han Qi, Haocheng Yin, Yilun Du, Heng Yang:
Strengthening Generative Robot Policies through Predictive World Modeling. - Yue Chang, Mengfei Liu, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun:
Lifting the Winding Number: Precise Representation of Complex Cuts in Subspace Physics Simulations. - Yan Aquino, Pedro Bento, Arthur Buzelin, Lucas Dayrell, Samira Malaquias, Caio Santana, Victoria Estanislau, Pedro Dutenhefner, Guilherme H. G. Evangelista, Luisa G. Porfírio, Caio Souza Grossi, Pedro B. Rigueira, Virgílio A. F. Almeida, Gisele L. Pappa, Wagner Meira Jr.:
Discord Unveiled: A Comprehensive Dataset of Public Communication (2015-2024). - Yuxuan Wu, Hideki Nakayama:
Advanced Weakly-Supervised Formula Exploration for Neuro-Symbolic Mathematical Reasoning. - Bin Xie, Hao Tang, Dawen Cai, Yan Yan, Gady Agam:
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation. - Xuyin Qi, Zeyu Zhang, Huazhan Zheng, Mingxi Chen, Numan Kutaiba, Ruth Lim, Cherie Chiang, Zi En Tham, Xuan Ren, Wenxin Zhang, Lei Zhang, Hao Zhang, Wenbing Lv, Guangzhen Yao, Renda Han, Kangsheng Wang, Mingyuan Li, Hongtao Mao, Yu Li, Zhibin Liao, Yang Zhao, Minh-Son To:
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction. - Ziyang Xu:
Patterns and Purposes: A Cross-Journal Analysis of AI Tool Usage in Academic Writing. - Zuyuan Zhang, Tian Lan:
Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks. - Donglei Yu, Yang Zhao, Jie Zhu, Yangyifan Xu, Yu Zhou, Chengqing Zong:
SimulPL: Aligning Human Preferences in Simultaneous Machine Translation. - Mengyi Wei, Chenjing Jiao, Chenyu Zuo, Lorenz Hurni, Liqiu Meng:
Constructing AI ethics narratives based on real-world data: Human-AI collaboration in data-driven visual storytelling. - Tao Ren, Zishi Zhang, Zehao Li, Jingyang Jiang, Shentao Qin, Guanghao Li, Yan Li, Yi Zheng, Xinping Li, Min Zhan, Yijie Peng:
Zeroth-order Informed Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer. - Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao:
CollabLLM: From Passive Responders to Active Collaborators. - Borui Xu, Yao Chen, Zeyi Wen, Weiguo Liu, Bingsheng He:
Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance. - Parsa Moradi, Mohammad Ali Maddah-Ali:
General Coded Computing in a Probabilistic Straggler Regime. - Chang Dong, Zechao Sun, Guangdong Bai, Shuying Piao, Weitong Chen, Wei Emma Zhang:
TrojanTime: Backdoor Attacks on Time Series Classification. - Samarth Swarup:
Agency in the Age of AI. - Amit Lokare, Shripad Bankar, Padmajeet Mhaske:
Integrating Cybersecurity Frameworks into IT Security: A Comprehensive Analysis of Threat Mitigation Strategies and Adaptive Technologies. - Yi Jiang, Oubo Ma, Yong Yang, Tong Zhang, Shouling Ji:
Reformulation is All You Need: Addressing Malicious Text Features in DNNs. - Ziyi Yin, Yuanpu Cao, Han Liu, Ting Wang, Jinghui Chen, Fenhlong Ma:
Towards Robust Multimodal Large Language Models Against Jailbreak Attacks. - Junuk Cha, Seongro Yoon, Valeriya Strizhkova, François Brémond, Seungryul Baek:
EmoTalkingGaussian: Continuous Emotion-conditioned Talking Head Synthesis. - Qianru Liu, Rui Wang, Yuesheng Xu:
Parameter Choices for Sparse Multi-Parameter Regularization with the ℓ1 Norm. - Rajdeep Haldar, Ziyi Wang, Qifan Song, Guang Lin, Yue Xing:
LLM Safety Alignment is Divergence Estimation in Disguise. - Changseung Kim, Geun Sik Bae, Woojae Shin, Sen Wang, Hyondong Oh:
EKF-Based Radar-Inertial Odometry with Online Temporal Calibration. - Yimu Wang, Evelien Riddell, Adrian Chow, Sean Sedwards, Krzysztof Czarnecki:
Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation. - Xiaoran Yang, Shuhan Yu, Wenxi Xu:
Enhanced Convolutional Neural Networks for Improved Image Classification. - Fuxi Ling, Hongye Liu, Guoqiang Huang, Jing Li, Hong Wu, Zhihao Tang:
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios. - Mingyu Chen, Yiding Chen, Wen Sun, Xuezhou Zhang:
Avoiding exp(Rmax) scaling in RLHF through Preference-based Exploration. - Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu, Chu-Song Chen:
Safety Alignment Depth in Large Language Models: A Markov Chain Perspective. - Alireza Shirmarz, Fábio Luciano Verdi, Suneet Kumar Singh, Christian Esteve Rothenberg:
POSMAC: Powering Up In-Network AR/CG Traffic Classification with Online Learning. - Kiran Sharma, Parul Khurana:
Retracted Citations and Self-citations in Retracted Publications: A Comparative Study of Plagiarism and Fake Peer Review. - Wenzhe Li, Yong Lin, Mengzhou Xia, Chi Jin:
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial? - Minghang Deng, Ashwin Ramachandran, Canwen Xu, Lanxiang Hu, Zhewei Yao, Anupam Datta, Hao Zhang:
ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Format Restriction, and Column Exploration. - Dan Alden Baterisna, Yi-Jun Chang:
Optimal local certification on graphs of bounded pathwidth. - Siraaj Akhtar, Saad Khan, Simon Parkinson:
LLM-based event log analysis techniques: A survey. - Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei, Yixuan Li:
How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence. - Klaus Meer, Adrian Wurm:
Some structural complexity results for ∃ℝ. - Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng:
A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. - Arpit Narechania, Alex Endert, Atanu R. Sinha:
Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis. - Emre Sariyildiz:
IEEEICM25: "Stability of Digital Robust Motion Control Systems with Disturbance Observer". - Zeyu Jiang, Hai Huang, Xingquan Zuo:
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning. - Emre Sariyildiz:
IEEEICM25: "A High-Performance Disturbance Observer". - Minhyuk Park, Daniel Wang Feng, Siya Digra, The-Anh Vu-Le, Lahari Anne, George Chacko, Tandy J. Warnow:
Improved Community Detection using Stochastic Block Models. - Liang Zhao, Kunming Shao, Fengshi Tian, Kwang-Ting Cheng, Chi-Ying Tsui, Yi Zou:
A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination. - Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan:
High-Order Matching for One-Step Shortcut Diffusion Models. - Bassam Adnan, Sathvika Miryala, Aneesh Sambu, Karthik Vaidhyanathan, Martina De Sanctis, Romina Spalazzese:
Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction. - Yuefan Cao, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Jiahao Zhang:
Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies. - Haozhe Wang, Long Li, Chao Qu, Fengming Zhu, Weidi Xu, Wei Chu, Fangzhen Lin:
Learning Autonomous Code Integration for Math Language Models. - Yekun Ke, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song:
DPBloomfilter: Securing Bloom Filters with Differential Privacy. - Ella Barkan, Ibrahim Siddiqui, Kevin J. Cheng, Alex Golts, Yoel Shoshan, Jeffrey K. Weber, Yailin Campos Mota, Michal Ozery-Flato, Giuseppe A. Sautto:
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin. - Linglong Wu, Xuhao Shan, Ruiquan Ge, Ruoyu Liang, Chi Zhang, Yonghong Li, Ahmed Elazab, Huoling Luo, Yunbi Liu, Changmiao Wang:
TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion. - Huanqia Cai, Yijun Yang, Winston Hu:
MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models. - Yunuo Chen, Qian Li, Bing He, Donghui Feng, Ronghua Wu, Qi Wang, Li Song, Guo Lu, Wenjun Zhang:
S2CFormer: Reorienting Learned Image Compression from Spatial Interaction to Channel Aggregation. - Sheng Lyu, Ruiming Huang, Sijie Ji, Yasar Abbas Ur Rehman, Lan Ma, Chenshu Wu:
CardioLive: Empowering Video Streaming with Online Cardiac Monitoring. - Marcos Irigoyen, Carla Santana, Ramon C. F. Araújo, Samuel Xavier de Souza:
DeLIAP e DeLIAJ: Interfaces de biblioteca de Dependabilidade para Python e Julia. - Pedro Cisneros-Velarde, Bhavesh Shrimali, Arindam Banerjee:
Optimization for Neural Operators can Benefit from Width. - Ivica Nikolic, Teodora Baluta, Prateek Saxena:
Model Provenance Testing for Large Language Models. - Qixuan Li, Chao Wang, Zongjin He, Yan Peng:
PhiP-G: Physics-Guided Text-to-3D Compositional Scene Generation. - Can Jin, Hongwu Peng, Anxiang Zhang, Nuo Chen, Jiahui Zhao, Xi Xie, Kuangzheng Li, Shuya Feng, Kai Zhong, Caiwen Ding, Dimitris N. Metaxas:
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models. - Chunbai Zhang, Chao Wang, Yang Zhou, Yan Peng:
VIKSER: Visual Knowledge-Driven Self-Reinforcing Reasoning Framework. - Jiahao Li, Dezhong Tong, Zhuonan Hao, Yinbo Zhu, Hengan Wu, Mingchao Liu, Weicheng Huang:
Harnessing Discrete Differential Geometry: A Virtual Playground for the Bilayer Soft Robotics. - Ryan Barker, Alireza Ebrahimi Dorcheh, Tolunay Seyfi, Fatemeh Afghah:
REAL: Reinforcement Learning-Enabled xApps for Experimental Closed-Loop Optimization in O-RAN with OSC RIC and srsRAN. - Mohammad Taha Teimuri Jervakani, Zahra Dehghanian, Gholamali Aminian, Hamid R. Rabiee:
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification. - Chao Wang, Jianming Yang, Yang Zhou:
MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction. - Isha Gupta, David Khachaturov, Robert D. Mullins:
"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models. - Kosuke Sakurai, Ryotaro Shimizu, Masayuki Goto:
Vision and Language Reference Prompt into SAM for Few-shot Segmentation. - Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki:
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs. - Dingyuan Shi, Lulu Zhang, Yongxin Tong, Ke Xu:
Understanding and Mitigating the High Computational Cost in Path Data Diffusion. - Yoann Poupart, Aurélie Beynier, Nicolas Maudet:
Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning. - Mingze Kong, Zhiyong Wang, Yao Shu, Zhongxiang Dai:
Meta-Prompt Optimization for LLM-Based Sequential Decision Making. - Boaz Taitler, Omer Ben-Porat:
Selective Response Strategies for GenAI. - Yang Li, Wei Liu, Tianzhi Feng, Fu Li, Chennan Wu, Boxun Fu, Zhifu Zhao, Xiaotian Wang, Guangming Shi:
Spatio-Temporal Progressive Attention Model for EEG Classification in Rapid Serial Visual Presentation Task. - Yun Chu, Qiuhao Wang, Enze Zhou, Ling Fu, Qian Liu, Gang Zheng:
CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning. - Chun Wai Chiu, Linghan Huang, Bo Li, Huaming Chen:
'Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs. - Christian Franssen, Jinyang Jiang, Yijie Peng, Bernd Heidergott:
CoNNect: A Swiss-Army-Knife Regularizer for Pruning of Neural Networks. - Divya Jyoti Bajpai, Manjesh Kumar Hanawal:
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts. - Atsumoto Ohashi, Ryuichiro Higashinaka:
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems. - Andreas Ziegler, Thomas Gossard, Arren Glover, Andreas Zell:
An Event-Based Perception Pipeline for a Table Tennis Robot. - Felix Tener, Joel Lanir:
Guiding, not Driving: Design and Evaluation of a Command-Based User Interface for Teleoperation of Autonomous Vehicles. - Giovanni Pio Delvecchio, Huy Hong Nguyen, Isao Echizen:
Zero-Shot Warning Generation for Misinformative Multimodal Content. - Aiqing Zhu, Yuting Pan, Qianxiao Li:
Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images. - J. Rosser, Jakob Nicolaus Foerster:
AgentBreeder: Mitigating the AI Safety Impact of Multi-Agent Scaffolds. - (Withdrawn) Structural Latency Perturbation in Large Language Models Through Recursive State Induction.
- Pirzada Suhail, Amit Sethi:
Privacy Preserving Properties of Vision Classifiers. - Liangyu Xu, Xuemiao Zhang, Feiyu Duan, Sirui Wang, Jingang Wang, Xunliang Cai:
FIRE: Flexible Integration of Data Quality Ratings for Effective Pre-Training. - Srividya Sheshadri, Unnikrishnan Radhakrishnan, Aswathi Padmavilochanan, Christopher Coley, Rao R. Bhavani:
Generative AI for Analyzing Participatory Rural Appraisal Data: An Exploratory Case Study in Gender Research. - Jiate Li, Binghui Wang:
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification. - Xiayang Li, Shihua Zhang:
Learning-Based TSP-Solvers Tend to Be Overly Greedy. - Artavazd Maranjyan, El Mehdi Saad, Peter Richtárik, Francesco Orabona:
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning. - Hiroaki Nishikawa:
An Efficient Implementation of Edge-Based Discretization without Forming Dual Control Volumes. - Eun Som Jeon, Hongjun Choi, Matthew P. Buman, Pavan K. Turaga:
Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data. - Diogen Babuc:
Constructing Fundamentals for the Theory of Proportions and Symbolic Allusions Applied Interdisciplinarily. - Yizheng Wang, Jinshuai Bai, Mohammad Sadegh Eshaghi, Cosmin Anitescu, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu:
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation. - Zhenyu Yu, Jinnian Wang:
A method for estimating forest carbon storage distribution density via artificial intelligence generated content model. - Zhenyu Yu, Jinnian Wang:
Estimating forest carbon stocks from high-resolution remote sensing imagery by reducing domain shift with style transfer. - Raghad H. AlShekh, Qutaiba I. Ali:
Forecasting Global Network Traffic Trends: The Role of Virtual Reality. - Omar M. Malallah, Qutaiba I. Ali:
Mathematical Modeling for Network Upgrades in Internet Service Provider Infrastructure. - Amer T. Ali, Qutaiba I. Ali:
Improving SDN Performance Using Network Coding: A Quantitative Analysis. - Ling Xing, Alex Jinpeng Wang, Rui Yan, Jinhui Tang:
Vision-centric Token Compression in Large Language Model. - Leng Cai, Junxuan He, Yikai Li, Junjie Liang, Yuanping Lin, Ziming Quan, Yawen Zeng, Jin Xu:
RTBAgent: A LLM-based Agent System for Real-Time Bidding. - Wingho Feng, Quanwang Li, Chen Wang, Jiansheng Fan:
Data Fusion for Full-Range Response Reconstruction via Diffusion Models. - Matan Levy, Rami Ben-Ari, Dvir Samuel, Nir Darshan, Dani Lischinski:
Task-Specific Adaptation with Restricted Model Access. - Mengping Yang, Zhe Wang, Ziqiu Chi, Dongdong Li, Wenli Du:
Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data. - Zhiwei Huang, Jiaqi Li, Ping Zhong, Rui Fan:
Environment-Driven Online LiDAR-Camera Extrinsic Calibration. - Massimiliano Falzari, Matthia Sabatelli:
Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning. - Haixu Wu, Yuezhou Ma, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long:
ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks. - Yufei He, Yuan Sui, Xiaoxin He, Yue Liu, Yifei Sun, Bryan Hooi:
UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs. - Yixin Wu, Ziqing Yang, Yun Shen, Michael Backes, Yang Zhang:
Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications. - Jianfeng Cai, Jinhua Zhu, Ruopei Sun, Yue Wang, Li Li, Wengang Zhou, Houqiang Li:
Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling. - Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang, Xiangdong Huang, Jianmin Wang, Mingsheng Long:
Sundial: A Family of Highly Capable Time Series Foundation Models. - Zheng-Lin Lin, Yu-Fei Shih, Shu-Kai Hsieh:
Probing Large Language Models in Reasoning and Translating Complex Linguistic Puzzles. - Behrooz Montazeran, Ullrich Köthe:
OOD Detection with immature Models. - Julian Perry, Frank Sanders, Carter Scott:
Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models. - Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng:
A Comprehensive Analysis on LLM-based Node Classification Algorithms. - Maike Scherer, Lukas Brand, Louis Wolf, Teena tom Dieck, Maximilian Schäfer, Sebastian Lotter, Andreas Burkovski, Heinrich Sticht, Robert Schober, Kathrin Castiglione:
Closed-Loop Long-Term Experimental Molecular Communication System. - Robert Long, Eric Gonzalez, Harrison Fuller:
Generalization of Medical Large Language Models through Cross-Domain Weak Supervision. - Akhshan P, Taneti Sanjay, Chandrakala S:
Cross multiscale vision transformer for deep fake detection. - Zhichao Hou, Weizhi Gao, Hamid Krim, Xiaorui Liu:
Boosting Adversarial Robustness and Generalization with Structural Prior. - Yuanchen Yuan, Jin Cheng, Núria Armengol Urpí, Stelian Coros:
CAIMAN: Causal Action Influence Detection for Sample Efficient Loco-manipulation. - Hadi Mohammadi, Ayoub Bagheri, Anastasia Giachanou, Daniel L. Oberski:
Explainability in Practice: A Survey of Explainable NLP Across Various Domains. - Jiawen Zhang, Kejia Chen, Lipeng He, Jian Lou, Dan Li, Zunlei Feng, Mingli Song, Jian Liu, Kui Ren, Xiaohu Yang:
Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense. - Evripidis Bampis, Bruno Escoffier, Dimitris Fotakis, Panagiotis Patsilinakos, Michalis Xefteris:
Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems. - Yuxin Lin, Mengshi Qi, Liang Liu, Huadong Ma:
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving. - Terje Mildner, Oliver Hamelijnck, Paris Giampouras, Theodoros Damoulas:
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework. - Jiawen Zhang, Kejia Chen, Zunlei Feng, Jian Lou, Mingli Song, Jian Liu, Xiaohu Yang:
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models. - Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu:
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning. - Chi Zhou, Wang Luo, Haoran Li, Congying Han, Tiande Guo, Zicheng Zhang:
Dual Alignment Maximin Optimization for Offline Model-based RL. - Wai Tong, Haobo Li, Meng Xia, Wong Kam-Kwai, Ting-Chuen Pong, Huamin Qu, Yalong Yang:
Exploring Spatial Hybrid User Interface for Visual Sensemaking. - Jianyu Zhang, Yongwang Zhao, Long Zhang, Jilin Hu, Xiaokun Luan, Zhiwei Xu, Feng Yang:
Psychometric-Based Evaluation for Theorem Proving with Large Language Models. - Jamshid Mozafari, Bhawna Piryani, Abdelrahman Abdallah, Adam Jatowt:
HintEval: A Comprehensive Framework for Hint Generation and Evaluation for Questions. - Manjie Xu, Xinyi Yang, Wei Liang, Chi Zhang, Yixin Zhu:
Learning to Plan with Personalized Preferences. - Yongqiang Huang, Zerui Shao, Ziyuan Yang, Zexin Lu, Yi Zhang:
FedRIR: Rethinking Information Representation in Federated Learning. - Christoffer Löffler, Andrea Martínez Freile, Tomás Rey Pizarro:
Predicting potentially unfair clauses in Chilean terms of services with natural language processing. - Alireza Morsali, MohammadJavad Vaez, Hossein Soltani, Amirhossein Kazerouni, Babak Taati, Morteza Mohammad Noori:
STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation. - Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan:
FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation. - Szymon Sieradzki, Jacek Mandziuk:
Modified Adaptive Tree-Structured Parzen Estimator for Hyperparameter Optimization. - Subhash Kantamneni, Max Tegmark:
Language Models Use Trigonometry to Do Addition. - Jing Yang:
Paper Copilot: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process. - Milena Rmus, Akshay K. Jagadish, Marvin Mathony, Tobias Ludwig, Eric Schulz:
Towards Automation of Cognitive Modeling using Large Language Models. - Alexander Giovannelli, Leonardo Pavanatto, Shakiba Davari, Haichao Miao, Vuthea Chheang, Brian Giera, Peer-Timo Bremer, Doug A. Bowman:
Investigating the Influence of Playback Interactivity during Guided Tours for Asynchronous Collaboration in Virtual Reality. - Raymond Fok, Alexa Fay Siu, Daniel S. Weld:
Toward Living Narrative Reviews: An Empirical Study of the Processes and Challenges in Updating Survey Articles in Computing Research. - Gil Goldshlager, Jiang Hu, Lin Lin:
Worth Their Weight: Randomized and Regularized Block Kaczmarz Algorithms without Preprocessing. - Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar:
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. - Alexander Giovannelli, Fionn Murphy, Trey Davis, Chaerin Lee, Rehema Abulikemu, Matthew Gallagher, Sahil Sharma, Lee Lisle, Doug A. Bowman:
Planet Purifiers: A Collaborative Immersive Experience Proposing New Modifications to HOMER and Fishing Reel Interaction Techniques. - Murdoch James Gabbay, Luca Zanolini:
A declarative approach to specifying distributed algorithms using three-valued modal logic. - Haochen Shi, Weizhuo Wang, Shuran Song, C. Karen Liu:
ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-Manipulation. - Ehsaneddin Asgari, Yassine El Kheir, Mohammad Ali Sadraei Javaheri:
MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies. - Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris N. Metaxas:
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation. - Shijun Cheng, Tariq Alkhalifah:
Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network. - Emanuele Troiani, Hugo Cui, Yatin Dandi, Florent Krzakala, Lenka Zdeborová:
Fundamental limits of learning in sequence multi-index models and deep attention networks: High-dimensional asymptotics and sharp thresholds. - Moritz Wolter, Lokesh Veeramacheneni:
Position: More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research. - Taewoo Kang, Kjerstin Thorson, Tai-Quan Peng, Dan Hiaeshutter-Rice, Sanguk Lee, Stuart Soroka:
Embracing Dialectic Intersubjectivity: Coordination of Different Perspectives in Content Analysis with LLM Persona Simulation. - Logan Lane, Jerald Thomas, Alexander Giovannelli, Ibrahim Asadullah Tahmid, Doug A. Bowman:
Exploring the Effects of Level of Control in the Initialization of Shared Whiteboarding Sessions in Collaborative Augmented Reality. - Richard Hawkins:
Developing Compelling Safety Cases. - Alice Heiman:
The Accuracy, Robustness, and Readability of LLM-Generated Sustainability-Related Word Definitions. - Stephen Zhang, Mustafa Khan, Vardan Papyan:
Attention Sinks and Outlier Features: A 'Catch, Tag, and Release' Mechanism for Embeddings. - Henning Müller, Erik Faust, Alexander Schlüter, Ralf Müller:
Extending the Lattice Boltzmann Method to Non-linear Solid Mechanics. - Marvin Li, Aayush Karan, Sitan Chen:
Blink of an eye: a simple theory for feature localization in generative models. - Patrick Yubeaton, Tareq Mahmoud, Shehab Naga, Pooria Taheri, Tianhua Xia, Arun George, Yasmein Khalil, Sai Qian Zhang, Siddharth Joshi, Chinmay Hegde, Siddharth Garg:
Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference. - Katherine Allison, Jonathan Kelly, Benjamin Hatton:
Structured Pneumatic Fingerpads for Actively Tunable Grip Friction. - Saeed Karimi-Bidhendi, Giovanni Geraci, Hamid Jafarkhani:
Mathematical Cell Deployment Optimization for Capacity and Coverage of Ground and UAV Users. - Yi Du, Taimeng Fu, Zhuoqun Chen, Bowen Li, Shaoshu Su, Zhipeng Zhao, Chen Wang:
VL-Nav: Real-time Vision-Language Navigation with Spatial Reasoning. - Kensuke Nakamura, Lasse Peters, Andrea Bajcsy:
Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis. - Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca:
Towards Efficient Large Multimodal Model Serving. - Erick Andrew Bustamante Flores, Harley Vera Olivera, Ivan Cesar Medrano Valencia, Carlos Fernando Montoya-Cubas:
Fruit Fly Classification (Diptera: Tephritidae) in Images, Applying Transfer Learning. - Jesus Fernandez-Bes, Jesús Cid-Sueiro, Antonio G. Marques:
An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions. - Leonardo Pavanatto, Alexander Giovannelli, Brian Giera, Peer-Timo Bremer, Haichao Miao, Doug A. Bowman:
Exploring Multiscale Navigation of Homogeneous and Dense Objects with Progressive Refinement in Virtual Reality. - Cliff Wong, Sam Preston, Qianchu Liu, Zelalem Gero, Jass Bagga, Sheng Zhang, Shrey Jain, Theodore Zhao, Yu Gu, Yanbo Xu, Sid Kiblawi, Roshanthi Weerasinghe, Rom S. Leidner, Kristina Young, Brian Piening, Carlo Bifulco, Tristan Naumann, Mu Wei, Hoifung Poon:
Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale. - Daniel T. Speckhard, Tim Bechtel, Sebastian Kehl, Jonathan Godwin, Claudia Draxl:
Analysis of static and dynamic batching algorithms for graph neural networks. - Pietro Di Gianantonio, Abbas Edalat:
A domain-theoretic framework for conditional probability and Bayesian updating in programming. - Farzane Jafari:
Fast Audio Codec Identification Using Overlapping LCS. - Dora Zhao, Diyi Yang, Michael S. Bernstein:
Mapping the Spiral of Silence: Surveying Unspoken Opinions in Online Communities. - Luis Rodríguez-Tembleque, José A. González, Antonio Cerrato:
Partitioned solution strategies for coupled BEM-FEM acoustic fluid-structure interaction problems. - Ye Mao, Weixun Luo, Junpeng Jing, Anlan Qiu, Krystian Mikolajczyk:
Hypo3D: Exploring Hypothetical Reasoning in 3D. - Wentao Shi, Zichun Yu, Fuli Feng, Xiangnan He, Chenyan Xiong:
Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search. - Mingyu Yang, Jitong Lu, Hun-Seok Kim:
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation. - Matthew Kemp, Harsha Kalutarage, M. Omar Al-Kadri:
AI-Powered Spearphishing Cyber Attacks: Fact or Fiction? - Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen:
PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs. - Harshith Padigela, Chintan Shah, Dinkar Juyal:
ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows. - Xinze Wang, Chen Chen, Yinfei Yang, Hong-You Chen, Bowen Zhang, Aditya Pal, Xiangxin Zhu, Xianzhi Du:
CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling. - Isabella Pu, Jeff Snyder, Naomi Ehrich Leonard:
The Beatbots: A Musician-Informed Multi-Robot Percussion Quartet. - Anuj Singh, Sayak Mukherjee, Ahmad Beirami, Hadi Jamali Rad:
CoDe: Blockwise Control for Denoising Diffusion Models. - Xiangci Li, Zhiyu Chen, Jason Ingyu Choi, Nikhita Vedula, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching. - Yicong Hong, Long Mai, Yuan Yao, Feng Liu:
Pushing the Boundaries of State Space Models for Image and Video Generation. - Minh Ngoc Nguyen, Khai Le-Duc, Tan-Hanh Pham, Trang Nguyen, Quang Minh Luu, Ba Kien Tran, Truong-Son Hy, Viktor Dremin, Sergei Sokolovsky, Edik Rafailov:
A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors. - Md. Abdur Rahman:
Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms. - Wentao Tang:
Learning the Integral Quadratic Constraints on Plant-Model Mismatch. - Litu Ou, Mirella Lapata:
Context-Aware Hierarchical Merging for Long Document Summarization. - So-Yoon Cho, Sungchul Lee, Hyun-Gyoon Kim:
Forecasting VIX using interpretable Kolmogorov-Arnold networks. - Zhengzhe Zhang, Wenjia Meng, Haoliang Sun, Gang Pan:
CausalCOMRL: Context-Based Offline Meta-Reinforcement Learning with Causal Representation. - Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad:
RandLoRA: Full-rank parameter-efficient fine-tuning of large models. - Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt:
PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback. - Kanika Goswami, Puneet Mathur, Ryan A. Rossi, Franck Dernoncourt:
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution. - Qiyu Zhuang, Wei Lu, Shuang Liu, Yuxing Chen, Xinyue Shi, Zhanhao Zhao, Yipeng Sun, Anqun Pan, Xiaoyong Du:
TxnSails: Achieving Serializable Transaction Scheduling with Self-Adaptive Isolation Level Selection. - Dongliang Zhou, Haijun Zhang, Jianghong Ma, Jicong Fan, Zhao Zhang:
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting. - Ben Zhou, Sarthak Jain, Yi Zhang, Qiang Ning, Shuai Wang, Yassine Benajiba, Dan Roth:
Self-supervised Analogical Learning using Language Models. - Yuhang Zhou, Giannis Karamanolakis, Victor Soto, Anna Rumshisky, Mayank Kulkarni, Furong Huang, Wei Ai, Jianhua Lu:
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs. - Jingyun Yang, Guoqing Zhang, Jingge Wang, Yang Li:
Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially. - Yukun Cheng, Xiaotie Deng, Yunxuan Ma:
Networked Digital Public Goods Games with Heterogeneous Players and Convex Costs. - Wenfei Zhang, Ruipeng Zhao, Yongxiang Yao, Yi Wan, Peihao Wu, Jiayuan Li, Yansheng Li, Yongjun Zhang:
Multi-Resolution SAR and Optical Remote Sensing Image Registration Methods: A Review, Datasets, and Future Perspectives. - Jianqiu Chen, Zikun Zhou, Xin Li, Ye Zheng, Tianpeng Bao, Zhenyu He:
ZeroBP: Learning Position-Aware Correspondence for Zero-shot 6D Pose Estimation in Bin-Picking. - Lishuo Pan, Mattia Catellani, Lorenzo Sabattini, Nora Ayanian:
Robust Trajectory Generation and Control for Quadrotor Motion Planning with Field-of-View Control Barrier Certification. - Haonan Zhu, Mary Silva, Jose Cadena, Braden Soper, Michal Lisicki, Braian Peetoom, Sergio E. Baranzini, Shivshankar Sundaram, Priyadip Ray, Jeff Drocco:
Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics. - James Buban, Hongyang Zhang, Claudio Angione, Harry Yang, Ahmad Farhan, Seyfal Sultanov, Michael Du, Xuran Ma, Zihao Wang, Yue Zhao, Arria Owlia, Fielding Johnston, Patrick Colangelo:
Encrypted Large Model Inference: The Equivariant Encryption Paradigm. - Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai:
Refining Adaptive Zeroth-Order Optimization at Ease. - Siqi Zeng, Yifei He, Weiqiu You, Yifan Hao, Yao-Hung Hubert Tsai, Makoto Yamada, Han Zhao:
Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable Approach. - Setu Kumar Basak, Tanmay Pardeshi, Bradley Reaves, Laurie A. Williams:
RiskHarvester: A Risk-based Tool to Prioritize Secret Removal Efforts in Software Artifacts. - Taechang Kim, Sooyeon Ji, Kyeongseon Min, Minjun Kim, Jonghyo Youn, Chungseok Oh, Jiye Kim, Jongho Lee:
Vessel segmentation for X-separation. - Roy Xie, Junlin Wang, Paul Rosu, Chunyuan Deng, Bolun Sun, Zihao Lin, Bhuwan Dhingra:
Knowing When to Stop: Dynamic Context Cutoff for Large Language Models. - Jiangqin Ma, Erfan Mahmoudinia:
Comprehensive Modeling Approaches for Forecasting Bitcoin Transaction Fees: A Comparative Study. - Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, Kijung Shin:
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation. - Nora Belrose, Alice Rigg:
Converting MLPs into Polynomials in Closed Form. - Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian:
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment. - Patrick Quinn, George Nehma, Madhur Tiwari:
End-to-End Imitation Learning for Optimal Asteroid Proximity Operations. - Jiuhong Xiao, Giuseppe Loianno:
UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization. - Takumi Fujimoto, Hiroaki Nishi:
eagle: early approximated gradient based learning rate estimator. - Blessing Austin-Gabriel, Aparna S. Varde, Hao Liu:
Geoinformatics-Guided Machine Learning for Power Plant Classification. - Mingi Jeong, Cristian Molinaro, Tonmoay Deb, Youzhi Zhang, Andrea Pugliese, Eugene Santos Jr., V. S. Subrahmanian, Alberto Quattrini Li:
Multi-Object Active Search and Tracking by Multiple Agents in Untrusted, Dynamically Changing Environments. - Peixuan Han, Cheng Qian, Xiusi Chen, Yuji Zhang, Denghui Zhang, Heng Ji:
Internal Activation as the Polar Star for Steering Unsafe LLM Behavior. - Muhammad Ramzy Altahhan, Lynn Munday, Yousry Azmy:
Multiphysics Continuous Shape Optimization of the TAP Reactor Components. - Kijin Sung, Kenta Hoshino, Akihiko Honda, Takeya Shima, Toshiyuki Ohtsuka:
Nonlinear receding-horizon differential game for drone racing along a three-dimensional path. - Zilong Wang, Zhiyang Dou, Yuan Liu, Cheng Lin, Xiao Dong, Yunhui Guo, Chenxu Zhang, Xin Li, Wenping Wang, Xiaohu Guo:
WonderHuman: Hallucinating Unseen Parts in Dynamic 3D Human Reconstruction. - Jiaxin Ye, Boyuan Cao, Hongming Shan:
Emotional Face-to-Speech. - Thomas Fel:
Sparks of Explainability: Recent Advancements in Explaining Large Vision Models. - Murugaraj Odiathevar, Chung Yup Kim:
Simulating Application Behavior for Network Monitoring and Security. - Haoxiang Zhang, Yurong Liu, Wei-Lun Hung, Aécio S. R. Santos, Juliana Freire:
AutoDDG: Automated Dataset Description Generation using Large Language Models. - Tao Zhang, Cheng Da, Kun Ding, Kun Jin, Yan Li, Tingting Gao, Di Zhang, Shiming Xiang, Chunhong Pan:
Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization. - T. Rehannara Beegum, Mohd Yamani Idna Bin Idris, Mohamad Nizam Bin Ayub, Hisham A. Shehadeh, Usman Ali:
Hybrid Firefly Algorithm and Sperm Swarm Optimization Algorithm using Newton-Raphson Method (HFASSON) and its application in CR-VANET. - Chao Wang, Xuancheng Zhou, Weiwei Fu, Yang Zhou:
Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding. - Seungri Yoon, Woosang Jeon, Sanghyeok Choi, Taehyeong Kim, Tae In Ahn:
Knowledge Synthesis of Photosynthesis Research Using a Large Language Model. - Sriram Ranga, Nandish Chattopadhyay, Anupam Chattopadhyay:
Learning Nonlinearity of Boolean Functions: An Experimentation with Neural Networks. - Gaojie Lin, Jianwen Jiang, Jiaqi Yang, Zerong Zheng, Chao Liang:
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models. - Yuan Zhang, Kuncai Zhong, Jiliang Zhang:
DH-TRNG: A Dynamic Hybrid TRNG with Ultra-High Throughput and Area-Energy Efficiency. - Nikolai Karpov, Chen Wang:
Nearly Tight Bounds for Exploration in Streaming Multi-armed Bandits with Known Optimality Gap. - Dongwon Jo, Jiwon Song, Yulhwa Kim, Jae-Joon Kim:
FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective Propagation. - Jiwoo Kim, Joonhyung Lee, Gunho Park, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee, Youngjoo Lee:
An Investigation of FP8 Across Accelerators for LLM Inference. - Marie Samson, Bastien Muraccioli, Fumio Kanehiro:
Scalable, Training-Free Visual Language Robotics: A Modular Multi-Model Framework for Consumer-Grade GPUs. - Chengxin Hu, Hao Li, Yihe Yuan, Zezheng Song, Haixin Wang:
Omni-Mol: Exploring Universal Convergent Space for Omni-Molecular Tasks. - Sheng Fang, Yong-Jin Liu, Wei Yao, Chengming Yu, Jin Zhang:
qNBO: quasi-Newton Meets Bilevel Optimization. - Qi Li, Jinhong Yuan, Min Qiu:
Parallel Coding for Orthogonal Delay-Doppler Division Multiplexing. - Dongliang Zhou, Haijun Zhang, Jianghong Ma, Jianyang Shi:
BC-GAN: A Generative Adversarial Network for Synthesizing a Batch of Collocated Clothing. - Vernon Toh Yan Han, Yew Ken Chia, Deepanway Ghosal, Soujanya Poria:
The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles. - Jiali Cheng, Hadi Amiri:
Tool Unlearning for Tool-Augmented LLMs. - Weiwei Lin, Chenghan He:
Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis. - Xuhan Huang, Yan Hu, Zhiyan Li, Zhiyong Wang, Benyou Wang, Zhongxiang Dai:
Federated Linear Dueling Bandits. - Kapal Dev, Sunder Ali Khowaja, Engin Zeydan, Mérouane Debbah:
Advanced Architectures Integrated with Agentic AI for Next-Generation Wireless Networks. - Jiali Chen, Xusen Hei, Yuqi Xue, Zihan Wu, Jiayuan Xie, Yi Cai:
Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model. - Farid Ariai, Maryam Tayefeh Mahmoudi, Ali Moeini:
Enhancing Aspect-based Sentiment Analysis with ParsBERT in Persian Language. - Dabin Kim, Inkyu Jang, Youngsoo Han, Sunwoo Hwang, H. Jin Kim:
Enhancing Feature Tracking Reliability for Visual Navigation using Real-Time Safety Filter. - Behrad Samari, Amy Nejati, Abolfazl Lavaei:
Model Order Reduction from Data with Certification. - Bharath Irigireddy, Varaprasad Bandaru:
SatFlow: Generative model based framework for producing High Resolution Gap Free Remote Sensing Imagery. - Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi:
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning. - Lifan Jiang, Shuang Chen, Boxi Wu, Xiaotong Guan, Jiahui Zhang:
VidSketch: Hand-drawn Sketch-Driven Video Generation with Diffusion Control. - Yiren Song, Danze Chen, Mike Zheng Shou:
LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer. - Sadegh Shirani, Yuwei Luo, William Overman, Ruoxuan Xiong, Mohsen Bayati:
Can We Validate Counterfactual Estimations in the Presence of General Network Interference? - Jingyuan Wang, Yujing Lin, Yudong Li:
GTG: Generalizable Trajectory Generation Model for Urban Mobility. - Mithun Saha, Maxwell A. Xu, Wanting Mao, Sameer Neupane, James M. Rehg, Santosh Kumar:
Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings. - Claude Carlet, Palash Sarkar:
The Nonlinear Filter Model of Stream Cipher Redivivus. - Linhao Luo, Zicheng Zhao, Gholamreza Haffari, Dinh Q. Phung, Chen Gong, Shirui Pan:
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation. - Guanlin Li, Kangjie Chen, Shangwei Guo, Jie Zhang, Han Qiu, Chao Zhang, Guoyin Wang, Tianwei Zhang, Jiwei Li:
Picky LLMs and Unreliable RMs: An Empirical Study on Safety Alignment after Instruction Tuning. - Yunchuan Guan, Yu Liu, Ke Zhou, Zhiqi Shen, Serge J. Belongie, Jenq-Neng Hwang, Lei Li:
Learning to Learn Weight Generation via Trajectory Diffusion. - Jiahang Sun, Zhiyong Wang, Runhan Yang, Chenjun Xiao, John C. S. Lui, Zhongxiang Dai:
Large Language Model-Enhanced Multi-Armed Bandits. - Robert Krauthgamer, Nir Petruschka:
Lipschitz Decompositions of Finite ℓp Metrics. - Charilaos I. Kanatsoulis, Evelyn Choi, Stephanie Jegelka, Jure Leskovec, Alejandro Ribeiro:
Learning Efficient Positional Encodings with Graph Neural Networks. - Vaishnavi Shrivastava, Ananya Kumar, Percy Liang:
Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences. - Young Wu, Yancheng Zhu, Jin-Yi Cai, Xiaojin Zhu:
The Battling Influencers Game: Nash Equilibria Structure of a Potential Game and Implications to Value Alignment. - Fredrik Bagge Carlson, Cody Tapscott, Gabriel Baraldi, Chris Rackauckas:
C codegen considered unnecessary: go directly to binary, do not pass C. Compilation of Julia code for deployment in model-based engineering. - (Withdrawn) Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless Networks.
- Amin Rafiei, Scott P. MacLachlan:
Improved monolithic multigrid methods for high-order Taylor-Hood discretizations. - Daniel Munoz:
Simple Linear Neuron Boosting. - Shubham Malhotra:
Self-Organizing Interaction Spaces: A Framework for Engineering Pervasive Applications in Mobile and Distributed Environments. - Qian Chen, Stefanie Rinderle-Ma, Lijie Wen:
Beyond Yes or No: Predictive Compliance Monitoring Approaches for Quantifying the Magnitude of Compliance Violations. - Xinyan Guan, Jiali Zeng, Fandong Meng, Chunlei Xin, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Jie Zhou:
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models. - Tairan He, Jiawei Gao, Wenli Xiao, Yuanhang Zhang, Zi Wang, Jiashun Wang, Zhengyi Luo, Guanqi He, Nikhil Sobanbab, Chaoyi Pan, Zeji Yi, Guannan Qu, Kris Kitani, Jessica K. Hodgins, Linxi Fan, Yuke Zhu, Changliu Liu, Guanya Shi:
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills. - Chaouki Ben Issaid, Praneeth Vepakomma, Mehdi Bennis:
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach. - Xiajie Huang, Fei Wang, Weimin Han, Min Ling:
A Discontinuous Galerkin Method for H(curl)-Elliptic Hemivariational Inequalities. - Nanjun Zhou, Weilin Lin, Li Liu:
Gradient Norm-based Fine-Tuning for Backdoor Defense in Automatic Speech Recognition. - Yu-Ling Hsu, Hsuan Su, Shang-Tse Chen:
Jailbreaking with Universal Multi-Prompts. - Samy Houache, Jean-François Aujol, Yann Traonmilin:
On the impact of the parametrization of deep convolutional neural networks on post-training quantization. - Shrisudhan Govindarajan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
Radiant Foam: Real-Time Differentiable Ray Tracing.