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ORCIDCoRR, October 2025
Volume 2025-10, October 2025
- Noah Broestl, Adel Nasser Abdalla, Rajprakash Bale, Hersh Gupta, Max Struever
:
Methodological Framework for Quantifying Semantic Test Coverage in RAG Systems. - Dong Liu:
PBFD and PDFD: Formally Defined and Verified Methodologies and Empirical Evaluation for Scalable Full-Stack Software Engineering. - Malte Hansen, Jens Bamberg, Noe Baumann, Wilhelm Hasselbring:
Semantic Zoom and Mini-Maps for Software Cities. - Malte Hansen, David Moreno-Lumbreras, Wilhelm Hasselbring:
HTML Structure Exploration in 3D Software Cities. - Kajwan Ziaoddini:
Unpacking Musical Symbolism in Online Communities: Content-Based and Network-Centric Approaches. - Tianyang Luo, Xikun Zhang, Dongjin Song:
FTSCommDetector: Discovering Behavioral Communities through Temporal Synchronization. - Zhongyang Liu, Ying Zhang, Xiangyi Xiao, Wenting Liu, Yuanting Zha, Haipeng Zhang:
When Life Paths Cross: Extracting Human Interactions in Time and Space from Wikipedia. - Alvaro Vallejo Ramírez:
IA aplicada al análisis del conflicto Irán-Israel: Mapeo de discursos en YouTube. - Ansh Kamthan:
Learning to Lead Themselves: Agentic AI in MAS using MARL. - Quy Minh Le, Minh Sao Khue Luu, Khanh-Tung Tran, Duc-Hai Nguyen, Hoang-Quoc-Viet Pham, Quan Le, Hoang Thanh Lam, Hoang D. Nguyen:
ToolBrain: A Flexible Reinforcement Learning Framework for Agentic Tools. - Mohammad Hossein Samaei, Faryad Darabi Sahneh, Lee W. Cohnstaedt, Caterina M. Scoglio:
EpidemIQs: Prompt-to-Paper LLM Agents for Epidemic Modeling and Analysis. - Ahmed A. A. Elhag, Arun Raja, Alex Morehead, Samuel M. Blau, Garrett M. Morris, Michael M. Bronstein:
Learning Inter-Atomic Potentials without Explicit Equivariance. - Ye Qiao, Haocheng Xu, Xiaofan Zhang, Sitao Huang:
Rethinking RoPE Scaling in Quantized LLM: Theory, Outlier, and Channel-Band Analysis with Weight Rescaling. - Chukwuemeka Ugwu, Oluwafemi Oyeleke:
Temporal-Aware Iterative Speech Model for Dementia Detection. - Shun-ichiro Hayashi, Koki Morita, Daichi Mukunoki, Tetsuya Hoshino, Takahiro Katagiri:
VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs. - Usman Muhammad, Jorma Laaksonen:
Hybrid Deep Learning for Hyperspectral Single Image Super-Resolution. - Zheng Yi Ho, Siyuan Liang, Dacheng Tao:
Review of Hallucination Understanding in Large Language and Vision Models. - Tridib Banerjee:
Modeling Product Ecosystems. - Jianing Guo, Zhenhong Wu, Chang Tu, Yiyao Ma, Xiangqi Kong, Zhiqian Liu, Jiaming Ji, Shuning Zhang, Yuanpei Chen, Kai Chen, Qi Dou, Yaodong Yang, Xianglong Liu, Huijie Zhao, Weifeng Lv, Simin Li:
On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations. - Maria Ana Cardei, Josephine Lamp, Mark Derdzinski, Karan Bhatia:
DM-Bench: Benchmarking LLMs for Personalized Decision Making in Diabetes Management. - Hossein Sholehrasa, Amirhossein Ghanaatian, Doina Caragea, Lisa Ann Tell, Jim Edmond S. Riviere, Majid Jaberi Douraki:
AutoPK: Leveraging LLMs and a Hybrid Similarity Metric for Advanced Retrieval of Pharmacokinetic Data from Complex Tables and Documents. - Junjie Li, Ziao Wang, Jianghong Ma, Xiaofeng Zhang:
Uncovering Intrinsic Capabilities: A Paradigm for Data Curation in Vision-Language Models. - Yuchen Song, Andong Chen, Wenxin Zhu, Kehai Chen, Xuefeng Bai, Muyun Yang, Tiejun Zhao:
Culture In a Frame: C3B as a Comic-Based Benchmark for Multimodal Culturally Awareness. - Gregory D. Baker, Scott McCallum, Dirk Pattinson:
Linear Regression in p-adic metric spaces. - Franck Vandewiele, Rémi Synave, Samuel Delepoulle, Rémi Cozot:
Beyond the Prompt: Gender Bias in Text-to-Image Models, with a Case Study on Hospital Professions. - Xiaotian Zou:
Reinforcement Learning-Based Prompt Template Stealing for Text-to-Image Models. - Sihao Ding, Santosh Vasa, Aditi Ramadwar:
Explanation-Driven Counterfactual Testing for Faithfulness in Vision-Language Model Explanations. - Youquan Fu, Ruiyang Si, Hongfa Wang, Dongzhan Zhou, Jiacheng Sun, Ping Luo, Di Hu, Hongyuan Zhang, Xuelong Li:
Object-AVEdit: An Object-level Audio-Visual Editing Model. - Anushka Mallick, Afiya Noorain, Ashwin Menon, Ashita Solanki, Keertan Balaji:
A Recall-First CNN for Sleep Apnea Screening from Snoring Audio. - Xianjie Liu, Yiman Hu, Yixiong Zou, Liang Wu, Jian Xu, Bo Zheng:
HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling. - Jiahao Fu, Yinfeng Yu, Liejun Wang:
FSDENet: A Frequency and Spatial Domains based Detail Enhancement Network for Remote Sensing Semantic Segmentation. - Sheng Yang, Tong Zhan, Guancheng Chen, Yanfeng Lu, Jian Wang:
Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving. - M. Kokhazadeh, G. Keramidas V. Kelefouras:
Efficient CNN Compression via Multi-method Low Rank Factorization and Feature Map Similarity. - Abdelrhman Gaber, Hassan Abd-Eltawab, Youssif Abuzied, Muhammad ElMahdy, Tamer A. ElBatt:
Federated Learning Meets LLMs: Feature Extraction From Heterogeneous Clients. - Rafael da Silva Maciel, Lucio Veraldo Jr:
Intelligent 5S Audit: Application of Artificial Intelligence for Continuous Improvement in the Automotive Industry. - Jiancong Xie, Wenjin Wang, Zhuomeng Zhang, Zihan Liu, Qi Liu, Ke Feng, Zixun Sun, Yuedong Yang:
OIG-Bench: A Multi-Agent Annotated Benchmark for Multimodal One-Image Guides Understanding. - Dongqi Zheng:
ARS: Adaptive Reasoning Suppression for Efficient Large Reasoning Language Models. - Chenhui Xu, Fuxun Yu, Michael J. Bianco, Jacob Kovarskiy, Raphael Tang, Qi Zhang, Zirui Xu, Will LeVine, Brandon Dubbs, Heming Liao, Cassandra Burgess, Suvam Bag, Jay Patravali, Rupanjali Kukal, Mikael Figueroa, Rishi Madhok, Nikolaos Karianakis, Jinjun Xiong:
Geo-R1: Unlocking VLM Geospatial Reasoning with Cross-View Reinforcement Learning. - Rishi Bommasani:
NeurIPS should lead scientific consensus on AI policy. - Sicong Liu, Weiye Wu, Xiangrui Xu, Teng Li, Bowen Pang, Bin Guo, Zhiwen Yu:
Adaptive and Resource-efficient Agentic AI Systems for Mobile and Embedded Devices: A Survey. - Hai Huang:
Directed Information γ-covering: An Information-Theoretic Framework for Context Engineering. - Hanze Guo, Yijun Ma, Xiao Zhou:
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction. - Hanjiang Hu, Bowei Li, Ziwei Wang, Tianhao Wei, Casidhe Hutchison, Eric M. Sample, Changliu Liu:
Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks. - Fabian Kovac, Sebastian Neumaier, Timea Pahi, Torsten Priebe, Rafael Rodrigues, Dimitrios Christodoulou, Maxime Cordy, Sylvain Kubler, Ali Kordia, Georgios Pitsiladis, John Soldatos, Petros Zervoudakis:
Towards a Framework for Supporting the Ethical and Regulatory Certification of AI Systems. - Sagnik Basu, Shubham Prakash, Ashish Maruti Barge, Siddharth D. Jaiswal, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee:
Judging by Appearances? Auditing and Intervening Vision-Language Models for Bail Prediction. - Eduardo Vyhmeister, Bastien Pietropoli, Andrea Visentin:
Data Quality Taxonomy for Data Monetization. - Seyma Yaman Kayadibi:
Simulating Student Success in the Age of GenAI: A Kantian-Axiomatic Perspective. - Shufeng Chen, Mariat James Elizebeth, Robab Aghazadeh Chakherlou, Xingyu Zhao, Eric Barbier, Siddartha Khastgir, Paul A. Jennings:
A Scalable Framework for Safety Assurance of Self-Driving Vehicles based on Assurance 2.0. - Xiang Chang, Zhijie Yi, Yichang Liu, Hongling Sheng, Dengbo He:
The Formation of Trust in Autonomous Vehicles after Interacting with Robotaxis on Public Roads. - Ryoya Yamasaki:
Approximately Unimodal Likelihood Models for Ordinal Regression. - Hong-Kyu Lee, Ruixuan Liu, Li Xiong:
Direct Token Optimization: A Self-contained Approach to Large Language Model Unlearning. - Hengkui Wu, Liujiang Liu, Jihua He, Qihao Wang, Keke Zhao, Shuyang Hu, Renle Fu, Dahao Liang, Lingyu Zeng, Bruce Liu, Yuan Liu, Jin Zhan, Jiaqiang Niu, Xinglong Jia, Yaqin Hu, Wenjun Ji, Panpan Chi, Ken Chen, Hengyuan Wu, Yingsi Xin, Yongfeng Zhu, Yuexin Wang, Manqi Ruan, Ningtao Bian, Xiaohua Wu, Weipeng Xu:
BigBang-Proton Technical Report: Next-Word-Prediction is Scientific Multitask Learner. - Adarsha Balaji, Sandeep Madireddy, Prasanna Balaprakash:
Large Language Models Inference Engines based on Spiking Neural Networks. - Yujia Zheng, Shaoan Xie, Kun Zhang:
Nonparametric Identification of Latent Concepts. - Nima Sheikholeslami, Erfan Hosseini, Patrice Bechard, Srivatsava Daruru, Sai Rajeswar:
Optimizing What Matters: AUC-Driven Learning for Robust Neural Retrieval. - Eugene Yang, Dawn J. Lawrie, Orion Weller, James Mayfield:
HLTCOE at TREC 2024 NeuCLIR Track. - Shreyas Chaudhari, Renhao Zhang, Philip S. Thomas, Bruno Castro da Silva:
Which Rewards Matter? Reward Selection for Reinforcement Learning under Limited Feedback. - Abu Hasnat Mohammad Rubaiyat, Jordan Vincent, Colin C. Olson:
Improved Hyperspectral Anomaly Detection via Unsupervised Subspace Modeling in the Signed Cumulative Distribution Transform Domain. - Valentin Barbaza, Alán Rodrigo Díaz Rizo, Hassan Aboushady, Spyridon Raptis, Haralampos-G. Stratigopoulos:
Stealing AI Model Weights Through Covert Communication Channels. - Xinyi Liu, Mohammadreza Fani Sani, Zewei Zhou, Julius Wirbel, Bahram Zarrin, Roberto Galeazzi:
RoboPilot: Generalizable Dynamic Robotic Manipulation with Dual-thinking Modes. - Songran Bai, Bingzhe Wu, Yiwei Zhang, Chengke Wu, Xiaolong Zheng, Yaze Yuan, Ke Wu, Jianqiang Li:
AuditAgent: Expert-Guided Multi-Agent Reasoning for Cross-Document Fraudulent Evidence Discovery. - Kimihiro Hasegawa, Wiradee Imrattanatrai, Masaki Asada, Ken Fukuda, Teruko Mitamura:
TAMA: Tool-Augmented Multimodal Agent for Procedural Activity Understanding. - Rishi Advani, Abolfazl Asudeh, Mohsen Dehghankar, Stavros Sintos:
Dynamic Necklace Splitting. - Saeyoung Rho, Junzhe Zhang, Elias Bareinboim:
Partial Identification Approach to Counterfactual Fairness Assessment. - Dominik Apel, Zeta Avarikioti, Matteo Maffei, Yuheng Wang:
Calyx: Privacy-Preserving Multi-Token Optimistic-Rollup Protocol. - Prabhav Goyal, Vinesh Sridhar, Wilson Zheng:
Privacy-Preserving Learning-Augmented Data Structures. - Diego Ortiz Barbosa, Mohit Agrawal, Yash Malegaonkar, Luis Burbano, Axel Andersson, György Dán, Henrik Sandberg, Alvaro A. Cárdenas:
Drones that Think on their Feet: Sudden Landing Decisions with Embodied AI. - Amirhossein Abaskohi, Tianyi Chen, Miguel Muñoz-Mármol, Curtis Fox, Amrutha Varshini Ramesh, Étienne Marcotte, Xing Han Lù, Nicolas Chapados, Spandana Gella, Christopher Pal, Alexandre Drouin, Issam H. Laradji:
DRBench: A Realistic Benchmark for Enterprise Deep Research. - Rik Koncel-Kedziorski, Brihi Joshi, Tim Paek:
PrimeX: A Dataset of Worldview, Opinion, and Explanation. - Shuyue Stella Li, Avinandan Bose, Faeze Brahman, Simon Shaolei Du, Pang Wei Koh, Maryam Fazel, Yulia Tsvetkov:
Personalized Reasoning: Just-In-Time Personalization and Why LLMs Fail At It. - Luis Burbano, Diego Ortiz Barbosa, Qi Sun, Siwei Yang, Haoqin Tu, Cihang Xie, Yinzhi Cao, Alvaro A. Cárdenas:
CHAI: Command Hijacking against embodied AI. - Jorge Mendez-Mendez:
A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream. - Ween Yang, Jason Liu, Suli Wang, Xinyuan Song, Lynn Ai, Eric Yang, Bill Shi:
Lattica: A Decentralized Cross-NAT Communication Framework for Scalable AI Inference and Training. - Xiaoyan Bai, Itamar Pres, Yuntian Deng, Chenhao Tan, Stuart M. Shieber, Fernanda B. Viégas, Martin Wattenberg, Andrew Lee:
Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls. - Gabriel de Olim Gaul, Adam Gould, Avinash Kori, Francesca Toni:
Object-Centric Case-Based Reasoning via Argumentation. - Anni Li, Aria Attar, Paul Dong:
Thinkquel: A Model Dedicated to Text-to-dbt Using Synthetic Data and a Span-Aware Objective. - Alireza Aliyari, Gholamreza Vossoughi:
A Novel Robust Control Method Combining DNN-Based NMPC Approximation and PI Control: Application to Exoskeleton Squat Movements. - Satoshi Hashiguchi, Yuta Kataoka, Asako Kimura, Shohei Mori:
Perceived Weight of Mediated Reality Sticks. - Xin Yu, Cong Xie, Ziyu Zhao, Tiantian Fan, Lingzhou Xue, Zhi Zhang:
PrunedLoRA: Robust Gradient-Based structured pruning for Low-rank Adaptation in Fine-tuning. - Prasanna Parthasarathi, Mathieu Reymond, Boxing Chen, Yufei Cui, Sarath Chandar:
GRPO-λ: Credit Assignment improves LLM Reasoning. - Diogo Maia, Filipe Correia, André Restivo, Paulo G. G. Queiroz:
Container Orchestration Patterns for Optimizing Resource Use. - Yifan Lu, Rixin Liu, Jiayi Yuan, Xingqi Cui, Shenrun Zhang, Hongyi Liu, Jiarong Xing:
RouterArena: An Open Platform for Comprehensive Comparison of LLM Routers. - Zhanda Zhu, Qidong Su, Yaoyao Ding, Kevin Song, Shang Wang, Gennady Pekhimenko:
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs. - Yunqi Gao, Bing Hu, Mahdi Boloursaz Mashhadi, A-Long Jin, Yanfeng Zhang, Pei Xiao, Rahim Tafazolli, Mérouane Debbah:
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training. - Tanay Kumar, Raktim Bhattacharya:
Robust Attitude Control of Nonlinear Multi-Rotor Dynamics with LFT Models and ℋ∞ Performance. - Naomi Spargo, Santiago Cuéllar, Jonathan Daugherty, Chris Phifer, David Darais:
The CoCompiler: DSL Lifting via Relational Compilation. - Yang Zhang, Huiwen Yan, Mushuang Liu:
Directed-MAML: Meta Reinforcement Learning Algorithm with Task-directed Approximation. - Houjun Liu, Shikhar Murty, Christopher D. Manning, Róbert Csordás:
Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space. - Nicola De Nitti, Kuang Huang:
Asymptotically compatible entropy-consistent discretization for a class of nonlocal conservation laws. - Ke Er Amy Zhang, David Grellscheid, Laura A. Garrison:
Data Melodification FM: Where Musical Rhetoric Meets Sonification. - Yue Meng, Fei Chen, Chuchu Fan:
TGPO: Temporal Grounded Policy Optimization for Signal Temporal Logic Tasks. - Rohan Kadekodi, Zhan Jin, Keisuke Kamahori, Yile Gu, Sean Khatiri, Noah H. Bayindirli, Sergey Gorbunov, Baris Kasikci:
DualTune: Decoupled Fine-Tuning for On-Device Agentic Systems. - Alex Chen, Renato Lui Geh, Aditya Grover, Guy Van den Broeck, Daniel Israel:
The Pitfalls of KV Cache Compression. - Xin Xu, Xunzhi He, Churan Zhi, Ruizhe Chen, Julian J. McAuley, Zexue He:
BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses. - Siva Viknesh, Amirhossein Arzani:
Differentiable Autoencoding Neural Operator for Interpretable and Integrable Latent Space Modeling. - Vincent Roulet, Atish Agarwala:
Per-example gradients: a new frontier for understanding and improving optimizers. - Xiaofeng Lin, Hejian Sang, Zhipeng Wang, Xuezhou Zhang:
Debunk the Myth of SFT Generalization. - Hans Gawendowicz, Pascal Lenzner, Lukas Weyand:
Cooperation in Bilateral Generalized Network Creation. - Ehsan Aghaei, Sarthak Jain, Prashanth Arun, Arjun Sambamoorthy:
SecureBERT 2.0: Advanced Language Model for Cybersecurity Intelligence. - Boris N. Slautin, Kamyar Barakati, Hiroshi Funakubo, Maxim A. Ziatdinov, Vladimir V. Shvartsman, Doru C. Lupascu, Sergei V. Kalinin:
Reward driven discovery of the optimal microstructure representations with invariant variational autoencoders. - Rizul Sharma, Tianyu Jiang, Seokki Lee, Jillian Aurisano:
Can AI agents understand spoken conversations about data visualizations in online meetings? - Parsa Moradi, Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
CODED-SMOOTHING: Coding Theory Helps Generalization. - Monishwaran Maheswaran, Marco Carini, Christian Federmann, Tony Diaz:
TASER: Translation Assessment via Systematic Evaluation and Reasoning. - K. F. Nieman, Ojas Kanhere, R. Shiu, W. Xu, C. Duan, Saeed S. Ghassamzadah:
An Adaptive cmWave/FR3 Channel Sounder for Integrated Sensing and Communication. - Buu Phan, Reza Ebrahimi, Sanjay Haresh, Roland Memisevic:
Delayed Attention Training Improves Length Generalization in Transformer-RNN Hybrids. - Ethan Herron, Xian Yeow Lee, Gregory Sin, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Chetan Gupta:
A Hierarchical Agentic Framework for Autonomous Drone-Based Visual Inspection. - Debottam Dutta, Chaitanya Amballa, Zhongweiyang Xu, Yu-Lin Wei, Romit Roy Choudhury:
Learning Energy-based Variational Latent Prior for VAEs. - Xiaoyu Song, William Han, Tony Chen, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Ding Zhao:
Retrieval-Augmented Generation for Electrocardiogram-Language Models. - Zhuohang Li, Xiaowei Li, Chengyu Huang, Guowang Li, Katayoon Goshvadi, Bo Dai, Dale Schuurmans, Paul Zhou, Hamid Palangi, Yiwen Song, Palash Goyal, Murat Kantarcioglu, Bradley A. Malin, Yuan Xue:
Judging with Confidence: Calibrating Autoraters to Preference Distributions. - Yusuf Ziya Isik, Rafal Laganowski:
Baseline Systems For The 2025 Low-Resource Audio Codec Challenge. - Paul C. Parsons:
Visualization Was Here: Reorienting Research When Visualizations Fade into the Background. - Zhexiong Liu, Diane J. Litman:
Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction. - Ojas Kanhere, K. F. Nieman, Saeed S. Ghassemzadeh:
Indoor-Office Large-Scale Wireless Channel Characterization in cmWave/FR3 Spectrum. - Odichimnma Ezeji, Michael Ziegltrum, Giulio Turrisi, Tommaso Belvedere, Valerio Modugno:
BC-MPPI: A Probabilistic Constraint Layer for Safe Model-Predictive Path-Integral Control. - Maisha Maliha, Dean Hougen:
MAGIC-MASK: Multi-Agent Guided Inter-Agent Collaboration with Mask-Based Explainability for Reinforcement Learning. - Karl F. Nieman, Ojas Kanhere, Saeed S. Ghassemzadeh:
cmWave/FR3 Large-Scale Channel Characterization for Urban Macro/Micro and Suburban Environments. - Joe Barrow, Raj Patel, Misha Kharkovski, Ben Davies, Ryan Schmitt:
SafePassage: High-Fidelity Information Extraction with Black Box LLMs. - Trung Hoang Le, Tran Cao Son, Huiping Cao:
SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completion. - Ruochen Li, Jun Li, Bailiang Jian, Kun Yuan, Youxiang Zhu:
ReEvalMed: Rethinking Medical Report Evaluation by Aligning Metrics with Real-World Clinical Judgment. - Lubos Kris, Jaroslav Kopcan, Qiwei Peng, Andrej Ridzik, Marcel Veselý, Martin Tamajka:
o-MEGA: Optimized Methods for Explanation Generation and Analysis. - Samar Fares, Nurbek Tastan, Noor Hussein, Karthik Nandakumar:
MOLM: Mixture of LoRA Markers. - Shutong Wu, Jiawei Zhang:
Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models. - Guy Bar-Shalom, Fabrizio Frasca, Yaniv Galron, Yftah Ziser, Haggai Maron:
Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT. - Serena Gomez Wannaz:
ICL Optimized Fragility. - Anay Majee, Amitesh Gangrade, Rishabh K. Iyer:
Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection. - Amir Joudaki, Giulia Lanzillotta, Mohammad Samragh Razlighi, Iman Mirzadeh, Keivan Alizadeh, Thomas Hofmann, Mehrdad Farajtabar, Fartash Faghri:
Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity. - Wenyang Jia, Jingjing Wang, Kai Lei:
BlockSDN-VC: A SDN-Based Virtual Coordinate-Enhanced Transaction Broadcast Framework for High-Performance Blockchains. - Thierry Blankenstein, Jialin Yu, Zixuan Li, Vassilis Plachouras, Sunando Sengupta, Philip Torr, Yarin Gal, Alasdair Paren, Adel Bibi:
BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models. - Panagiotis Kounatidis, Andreas A. Malikopoulos:
Combined Learning and Control: A New Paradigm for Optimal Control with Unknown Dynamics. - Zhongxuan Liu, Yue Kang, Thomas C. M. Lee:
Lipschitz Bandits with Stochastic Delayed Feedback. - Akash Balasaheb Dhasade, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Maxime Jacovella, Anne-Marie Kermarrec, Rafael Pinot:
Robust Federated Inference. - Bowen Wei, Yuan Shen Tay, Howard Liu, Jinhao Pan, Kun Luo, Ziwei Zhu, Chris Jordan:
CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage. - Matthew David Hamilton:
Digital Domination: A Case for Republican Liberty in Artificial Intelligence. - Xiaotang Zhang, Ziyi Chang, Qianhui Men, Hubert P. H. Shum:
Motion In-Betweening for Densely Interacting Characters. - Mohammad Rostami, Atik Faysal, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Yu-Dong Yao:
DiSC-AMC: Token- and Parameter-Efficient Discretized Statistics In-Context Automatic Modulation Classification. - Youpeng Li, Kartik Joshi, Xinda Wang, Eric Wong:
MAVUL: Multi-Agent Vulnerability Detection via Contextual Reasoning and Interactive Refinement. - Wei Shen, Han Wang, Haoyu Li, Huan Zhang:
DecepChain: Inducing Deceptive Reasoning in Large Language Models. - A. K. Hamisu, K. Jasleen:
A Framework for Selection of Machine Learning Algorithms Based on Performance Metrices and Akaike Information Criteria in Healthcare, Telecommunication, and Marketing Sector. - Günter F. Steinke, Thomas Steinke:
Privately Estimating Black-Box Statistics. - Lucas R. Roberts, Denisa A. O. Roberts:
Which Programming Language and Model Work Best With LLM-as-a-Judge For Code Retrieval? - Hassen Dhrif:
Reasoning-Aware Prompt Orchestration: A Foundation Model for Multi-Agent Language Model Coordination. - Ahmed Fawzy, Amjed Tahir, Kelly Blincoe:
Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook - a Grey Literature Review. - Sarmad Mehrdad, Maxime Sabbah, Vincent Bonnet, Ludovic Righetti:
Learning Human Reaching Optimality Principles from Minimal Observation Inverse Reinforcement Learning. - Grzegorz Gutowski, Maarten Löffler, Yuto Okada, Alexander Wolff:
One-Sided Local Crossing Minimization. - Zeshi Dai, Zimo Peng, Zerui Cheng, Ryan Yihe Li:
When Hallucination Costs Millions: Benchmarking AI Agents in High-Stakes Adversarial Financial Markets. - Ayushi Dube, Gian Singh, Sarma Vrudhula:
A Compact, Low Power Transprecision ALU for Smart Edge Devices. - T. James Brandt:
Navigating the Synchrony-Stability Frontier in Adaptive Chatbots. - Chang Han, Andrew McNutt:
The Feng Shui of Visualization: Design the Path to SUCCESS and GOOD FORTUNE. - Yiping Ji, James Martens, Jianqiao Zheng, Ziqin Zhou, Peyman Moghadam, Xinyu Zhang, Hemanth Saratchandran, Simon Lucey:
Cutting the Skip: Training Residual-Free Transformers. - Huitao Yang, Guanting Chen:
In-Context Curiosity: Distilling Exploration for Decision-Pretrained Transformers on Bandit Tasks. - Alperen Tercan, Necmiye Ozay:
Initial Distribution Sensitivity of Constrained Markov Decision Processes. - Akshaya Kumar, Anna Raymaker, Michael Specter:
Security and Privacy Analysis of Tile's Location Tracking Protocol. - Rohit Dilip, Evan Zhang, Ayush Varshney, David Van Valen:
Flow Autoencoders are Effective Protein Tokenizers. - Tong Chen, Yinuo Zhang, Pranam Chatterjee:
AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance. - Shicheng Liu, Qilong Zhai:
A posteriori error estimation for weak Galerkin method of the fourth-order singularly perturbed problem. - Renee Ge, Qianli Liao, Tomaso A. Poggio:
Hierarchical Reasoning Models: Perspectives and Misconceptions. - Daniel G. Williams:
Dereverberation Using Binary Residual Masking with Time-Domain Consistency. - Linjin He, Xinda Qi, Dong Chen, Zhaojian Li, Xiaobo Tan:
DiSA-IQL: Offline Reinforcement Learning for Robust Soft Robot Control under Distribution Shifts. - Hita Kambhamettu, Alyssa Hwang, Philippe Laban, Andrew Head:
Attribution Gradients: Incrementally Unfolding Citations for Critical Examination of Attributed AI Answers. - Gautham Udayakumar Bekal, Ashish Pujari, Scott David Kelly:
Continual Learning with Query-Only Attention. - Andy Yang, Christopher Watson, Anton Xue, Satwik Bhattamishra, Jose Llarena, William Merrill, Emile Dos Santos Ferreira, Anej Svete, David Chiang:
The Transformer Cookbook. - Carlo Bosio, Matteo Guarrera, Alberto L. Sangiovanni-Vincentelli, Mark W. Mueller:
Combining Large Language Models and Gradient-Free Optimization for Automatic Control Policy Synthesis. - Minseok Jeon, Seunghyun Park:
GDLNN: Marriage of Programming Language and Neural Networks for Accurate and Easy-to-Explain Graph Classification. - Dom CP Marticorena, Chris Wissmann, Zeyu Lu, Dennis L. Barbour:
Multidimensional Bayesian Active Machine Learning of Working Memory Task Performance. - Arpan Mahara, Md Rezaul Karim Khan, Naphtali Rishe, Wenjia Wang, Seyed Masoud Sadjadi:
Discrete Wavelet Transform as a Facilitator for Expressive Latent Space Representation in Variational Autoencoders in Satellite Imagery. - Bilge Acun, Prasoon Sinha, Newsha Ardalani, Sangmin Bae, Alicia Golden, Chien-Yu Lin, Meghana Madhyastha, Fei Sun, Neeraja J. Yadwadkar, Carole-Jean Wu:
Composer: A Search Framework for Hybrid Neural Architecture Design. - Kaiwen Yu, Mengying Sun, Zhijin Qin, Xiaodong Xu, Ping Yang, Yue Xiao, Gang Wu:
Semantic-Driven AI Agent Communications: Challenges and Solutions. - Marawan Gamal Abdel Hameed, Guillaume Rabusseau:
Efficient Probabilistic Tensor Networks. - Chi Ho Leung, Philip E. Paré:
Learning Passive Continuous-Time Dynamics with Multistep Port-Hamiltonian Gaussian Processes. - Ayush Jain, Andrea Montanari, Eren Sasoglu:
Train on Validation (ToV): Fast data selection with applications to fine-tuning. - Robert Kasumba, Zeyu Lu, Dom CP Marticorena, Mingyang Zhong, Paul Beggs, Anja Pahor, Geetha B. Ramani, Imani Goffney, Susanne M. Jaeggi, Aaron R. Seitz, Jacob R. Gardner, Dennis L. Barbour:
Bayesian Distributional Models of Executive Functioning. - Buyang Li, Qiqi Rao, Hui Zhang, Zhi Zhou:
Numerical analysis of 2D Navier-Stokes equations with nonsmooth initial value in the critical space. - Zhouyang Liu, Yixin Chen, Ning Liu, Jiezhong He, Dongsheng Li:
Graph2Region: Efficient Graph Similarity Learning with Structure and Scale Restoration. - (Withdrawn) SAGE-Music: Low-Latency Symbolic Music Generation via Attribute-Specialized Key-Value Head Sharing.
- Hongkang Li, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Meng Wang:
Can Mamba Learn In Context with Outliers? A Theoretical Generalization Analysis. - Shounak Sural, Charles Kekeh, Wenliang Liu, Federico Pecora, Mouhacine Benosman:
Physics-Informed Neural Controlled Differential Equations for Scalable Long Horizon Multi-Agent Motion Forecasting. - Zhouyang Liu, Ning Liu, Yixin Chen, Jiezhong He, Menghan Jia, Dongsheng Li:
Hierarchy-Aware Neural Subgraph Matching with Enhanced Similarity Measure. - Xudong Zhu, Mohammad Mahdi Khalili, Zhihui Zhu:
AbsTopK: Rethinking Sparse Autoencoders For Bidirectional Features. - Jiayi Liu, Jiaming Zhou, Ke Ye, Kun-Yu Lin, Allan Wang, Junwei Liang:
EgoTraj-Bench: Towards Robust Trajectory Prediction Under Ego-view Noisy Observations. - Hengtao Li, Pengxiang Ding, Runze Suo, Yihao Wang, Zirui Ge, Dongyuan Zang, Kexian Yu, Mingyang Sun, Hongyin Zhang, Donglin Wang, Weihua Su:
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators. - Jade Kandel, Sriya Kasumarthi, Spiros Tsalikis, Chelsea Duppen, Daniel Szafir, Michael Lewek, Henry Fuchs, Danielle Szafir:
Investigating Encoding and Perspective for Augmented Reality. - Wataru Hashimoto, Kazumune Hashimoto:
MM-LMPC: Multi-Modal Learning Model Predictive Control via Bandit-Based Mode Selection. - Ran Tong, Jiaqi Liu, Su Liu, Jiexi Xu, Lanruo Wang, Tong Wang:
Does Bigger Mean Better? Comparitive Analysis of CNNs and Biomedical Vision Language Modles in Medical Diagnosis. - Zikang Liu, Junyi Li, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen:
PAL-UI: Planning with Active Look-back for Vision-Based GUI Agents. - Matthew Yue, Zhikun Xu, Vivek Gupta, Thao Ha, Liesal Sharabi, Ben Zhou:
RELATE-Sim: Leveraging Turning Point Theory and LLM Agents to Predict and Understand Long-Term Relationship Dynamics through Interactive Narrative Simulations. - Dadi Guo, Tianyi Zhou, Dongrui Liu, Chen Qian, Qihan Ren, Shuai Shao, Zhiyuan Fan, Yi R. Fung, Kun Wang, Linfeng Zhang, Jing Shao:
Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm. - Junhyeok Lee, Han Jang, Kyu Sung Choi:
Domain-Specialized Interactive Segmentation Framework for Meningioma Radiotherapy Planning. - Kairun Zhang, Haoyu Li, Yanjun Zhao, Yifan Sun, Huan Zhang:
Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs. - Rishi Veerapaneni, Alvin Tang, Haodong He, Sophia Zhao, Viraj Shah, Yidai Cen, Ziteng Ji, Gabriel Olin, Jon Arrizabalaga, Yorai Shaoul, Jiaoyang Li, Maxim Likhachev:
Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks. - Seongjae Kang, Dong Bok Lee, Juho Jung, Dongseop Kim, Won Hwa Kim, Sunghoon Joo:
Automated Structured Radiology Report Generation with Rich Clinical Context. - Suhyeon Lee, Jong Chul Ye:
Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment. - Yu Mei, Xinyu Zhou, Xiaobo Tan:
Modeling and Mixed-Integer Nonlinear MPC of Positive-Negative Pressure Pneumatic Systems. - Suorong Yang, Jie Zong, Lihang Wang, Ziheng Qin, Hai Gan, Pengfei Zhou, Kai Wang, Yang You, Furao Shen:
On-the-Fly Data Augmentation via Gradient-Guided and Sample-Aware Influence Estimation. - Dipankar Shakya, Theodore S. Rappaport, Ethan Shieh, Michael E. Knox, Hamed Rahmani, Davood Shahrjerdi, Mingjun Ying, Kimberley Fan, Matt Lu, Andrej Rumiantsev, Vince Mallette, Gavin Fisher, Giancarlo De Chirico, Pratik Ghate, Shean McMahon:
Four-Port Probe Stations and SOLR Calibration Standard Design up to 125 GHz on 28 nm CMOS. - Sarvesh Soni, Dina Demner-Fushman:
Automated Evaluation can Distinguish the Good and Bad AI Responses to Patient Questions about Hospitalization. - Zhaoyang Li, Dongjun Qian, Kai Su, Qishuai Diao, Xiangyang Xia, Chang Liu, Wenfei Yang, Tianzhu Zhang, Zehuan Yuan:
BindWeave: Subject-Consistent Video Generation via Cross-Modal Integration. - Yiyuan Pan, Yunzhe Xu, Zhe Liu, Hesheng Wang:
Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation. - Harbir Antil, Deepanshu Verma:
Randomized Matrix Sketching for Neural Network Training and Gradient Monitoring. - Zijun Wu, Yongchang Hao, Lili Mou:
TokMem: Tokenized Procedural Memory for Large Language Models. - Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
LongCodeZip: Compress Long Context for Code Language Models. - Koki Ryu, Hitomi Yanaka:
Enhancing Rating Prediction with Off-the-Shelf LLMs Using In-Context User Reviews. - Sheikh Md. Mushfiqur Rahman, Nasir U. Eisty:
Beyond Pass/Fail: The Story of Learning-Based Testing. - Dalal N. Alharthi, Iván Roberto Kawaminami García:
A Call to Action for a Secure-by-Design Generative AI Paradigm. - Dalal Alharthi, Iván Roberto Kawaminami García:
Cloud Investigation Automation Framework (CIAF): An AI-Driven Approach to Cloud Forensics. - Wang Zhang, Huaqiu Li, Xiaowan Hu, Tao Jiang, Zikang Chen, Haoqian Wang:
Measuring and Controlling the Spectral Bias for Self-Supervised Image Denoising. - Weilin Xin, Chenyu Huang, Peilin Li, Jing Zhong, Jiawei Yao:
UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction. - Atif Belal, Heitor Rapela Medeiros, Marco Pedersoli, Eric Granger:
VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors. - Rachita Mondal, Mert Indibi, Tapabrata Maiti, Selin Aviyente:
Robust Spatiotemporally Contiguous Anomaly Detection Using Tensor Decomposition. - Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang:
TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting. - Run Su, Hao Fu, Shuai Zhou, Yingao Fu:
Integrating Offline Pre-Training with Online Fine-Tuning: A Reinforcement Learning Approach for Robot Social Navigation. - Aopeng Wang, Ke Deng, Yongli Ren, Jun Luo:
Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt. - Jennifer Lin:
Feature Identification via the Empirical NTK. - Omid Armantalab, Jason Hawkins, Wissam Kontar:
Mobility Behavior Evolution During Extended Emergencies: Returners, Explorers, and the 15-Minute City. - Yankai Jiang, Raghavendra Kanakagiri, Rohan Basu Roy, Devesh Tiwari:
ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems. - Ben Abramowitz:
Capital Games and Growth Equilibria. - Kai Gu, Weishi Shi:
Diagnosing Shortcut-Induced Rigidity in Continual Learning: The Einstellung Rigidity Index (ERI). - Arushi Sharma, Vedant Pungliya, Christopher J. Quinn, Ali Jannesari:
Analyzing Latent Concepts in Code Language Models. - Chengzhen Li, Likun Zhang, Chuang Zhang, Jiahui Li, Changyuan Zhao, Ruichen Zhang, Geng Sun:
Wireless Laser Power Transfer for Low-altitude Uncrewed Aerial Vehicle-assisted Internet of Things: Paradigms, Challenges, and Solutions. - Jing Wang, Wonho Bae, Jiahong Chen, Wenxu Wang, Junhyug Noh:
Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation. - Kenjiro Ide, Taiga Someya, Kohei Kawaguchi, Keisuke Fujii:
Expandable Decision-Making States for Multi-Agent Deep Reinforcement Learning in Soccer Tactical Analysis. - Jiayang Xu, Xiangjie Huang, Zijie Li, Zili Meng:
Make a Video Call with LLM: A Measurement Campaign over Five Mainstream Apps. - Yawen Xue, Masaya Tsunokake, Yuta Koreeda, Amin Ekant Muljibhai, Takashi Sumiyoshi, Yasuhiro Sogawa:
Agent Fine-tuning through Distillation for Domain-specific LLMs in Microdomains. - Yuheng Ji, Huajie Tan, Cheng Chi, Yijie Xu, Yuting Zhao, Enshen Zhou, Huaihai Lyu, Pengwei Wang, Zhongyuan Wang, Shanghang Zhang, Xiaolong Zheng:
MathSticks: A Benchmark for Visual Symbolic Compositional Reasoning with Matchstick Puzzles. - Yujia Xiao, Liumeng Xue, Lei He, Xinyi Chen, Aemon Yat Fei Chiu, Wenjie Tian, Shaofei Zhang, Qiuqiang Kong, Xinfa Zhu, Wei Xue, Tan Lee:
PodEval: A Multimodal Evaluation Framework for Podcast Audio Generation. - Muhammad Tanzil Furqon, Mahardhika Pratama, Igor Skrjanc, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay:
Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models. - Ismail Alihan Hadimlioglu, Siddharth Linga:
Face2Feel: Emotion-Aware Adaptive User Interface. - Yu Yan, Siqi Lu, Yang Gao, Zhaoxuan Li, Ziming Zhao, Qingjun Yuan, Yongjuan Wang:
Has the Two-Decade-Old Prophecy Come True? Artificial Bad Intelligence Triggered by Merely a Single-Bit Flip in Large Language Models. - Han Zhou, Jinjin Cao, Liyuan Ma, Xueji Fang, Guo-Jun Qi:
From Human Hands to Robot Arms: Manipulation Skills Transfer via Trajectory Alignment. - Dong Bok Lee, Seanie Lee, Sangwoo Park, Minki Kang, Jinheon Baek, Dongki Kim, Dominik Wagner, Jiongdao Jin, Heejun Lee, Tobias Bocklet, Jinyu Wang, Jingjing Fu, Sung Ju Hwang, Jiang Bian, Lei Song:
Rethinking Reward Models for Multi-Domain Test-Time Scaling. - Julian Coda-Forno, Zhuokai Zhao, Qiang Zhang, Dipesh Tamboli, Weiwei Li, Xiangjun Fan, Lizhu Zhang, Eric Schulz, Hsiao-Ping Tseng:
Exploring System 1 and 2 communication for latent reasoning in LLMs. - Yuexin Wang, Xiaolei Wang, Yizheng Gong, Jimin Xiao:
Normal-Abnormal Guided Generalist Anomaly Detection. - Pengzhou Cheng, Lingzhong Dong, Zeng Wu, Zongru Wu, Xiangru Tang, Chengwei Qin, Zhuosheng Zhang, Gongshen Liu:
Agent-ScanKit: Unraveling Memory and Reasoning of Multimodal Agents via Sensitivity Perturbations. - Xingjian Zhao, Zhe Xu, Qinyuan Cheng, Zhaoye Fei, Luozhijie Jin, Yang Wang, Hanfu Chen, Yaozhou Jiang, Qinghui Gao, Ke Chen, Ruixiao Li, Mingshu Chen, Ruiming Wang, Wenbo Zhang, Yiyang Zhang, Donghua Yu, Yang Gao, Xiaogui Yang, Yitian Gong, Yuanfan Xu, Yaqian Zhou, Xuanjing Huang, Xipeng Qiu:
MOSS-Speech: Towards True Speech-to-Speech Models Without Text Guidance. - Kaiqi Zhang, Mingguan Yang, Dali Chang, Chun Chen, Yuxiang Zhang, Kexun He, Jing Zhao:
Relative-Absolute Fusion: Rethinking Feature Extraction in Image-Based Iterative Method Selection for Solving Sparse Linear Systems. - Kaixin Wang, Tianlin Li, Xiaoyu Zhang, Aishan Liu, Xianglong Liu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Bin Shi:
CodeChemist: Functional Knowledge Transfer for Low-Resource Code Generation via Test-Time Scaling. - Jaewoo Lee, Minsu Kim, Sanghyeok Choi, Inhyuck Song, Sujin Yun, Hyeongyu Kang, Woocheol Shin, Taeyoung Yun, Kiyoung Om, Jinkyoo Park:
Diffusion Alignment as Variational Expectation-Maximization. - Naru Suzuki, Takehiko Ohkawa, Tatsuro Banno, Jihyun Lee, Ryosuke Furuta, Yoichi Sato:
Affordance-Guided Diffusion Prior for 3D Hand Reconstruction. - Yurun Chen, Xavier Hu, Yuhan Liu, Ziqi Wang, Zeyi Liao, Lin Chen, Feng Wei, Yuxi Qian, Bo Zheng, Keting Yin, Shengyu Zhang:
Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs. - Yongchao Long, Xian Wu, Yingying Zhang, Xianbin Wen, Yuxi Zhou, Shenda Hong:
Copy-Paste to Mitigate Large Language Model Hallucinations. - Jiarun Liu, Shiyue Xu, Shangkun Liu, Yang Li, Wen Liu, Min Liu, Xiaoqing Zhou, Hanmin Wang, Shilin Jia, Zhen Wang, Shaohua Tian, Hanhao Li, Junbo Zhang, Yongli Yu, Peng Cao, Haofen Wang:
JoyAgent-JDGenie: Technical Report on the GAIA. - Hua Shen, Bangwei She:
A multi-resolution limiter for the Runge-Kutta discontinuous Galerkin method. - Samuel Pfisterer, Florian Grötschla, Luca A. Lanzendörfer, Florian Yan, Roger Wattenhofer:
EuroSpeech: A Multilingual Speech Corpus. - Zichen Wen, Shaobo Wang, Yufa Zhou, Junyuan Zhang, Qintong Zhang, Yifeng Gao, Zhaorun Chen, Bin Wang, Weijia Li, Conghui He, Linfeng Zhang:
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation. - Xinyi Guan, Jiayi Hu, Lei Zhang, Shaoqiang Tang, Wing Kam Liu:
Time-marching multi-level variational multiscale tensor decomposition algorithm for heat conduction with moving heat source. - Tsubasa Takahashi, Shojiro Yamabe, Futa Waseda, Kento Sasaki:
Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness. - Hadiza Umar Yusuf, Khouloud Gaaloul:
Architectural Transformations and Emerging Verification Demands in AI-Enabled Cyber-Physical Systems. - Darya Taratynova, Ahmed Aly, Numan Saeed, Mohammad Yaqub:
CardioBench: Do Echocardiography Foundation Models Generalize Beyond the Lab? - Md. Abdur Rahman, Selvarajah Thuseethan, Kheng Cher Yeo, Reem E. Mohamed, Sami Azam:
ARIONet: An Advanced Self-supervised Contrastive Representation Network for Birdsong Classification and Future Frame Prediction. - Wei-Yao Wang, Kazuya Tateishi, Qiyu Wu, Shusuke Takahashi, Yuki Mitsufuji:
VIRTUE: Visual-Interactive Text-Image Universal Embedder. - Baoshan Song, Penggao Yan, Xiao Xia, Yihan Zhong, Weisong Wen, Li-Ta Hsu:
Two stage GNSS outlier detection for factor graph optimization based GNSS-RTK/INS/odometer fusion. - Jared Jonas, Bassam Bamieh:
An Interpolation-based Scheme for Rapid Frequency-Domain System Identification. - Gaotang Li, Ruizhong Qiu, Xiusi Chen, Heng Ji, Hanghang Tong:
Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum. - Taeyun Woo, Jinah Park, Tae-Kyun Kim:
Cascaded Diffusion Framework for Probabilistic Coarse-to-Fine Hand Pose Estimation. - Anbi Guo, Mahfuza Farooque:
Memory-Augmented Log Analysis with Phi-4-mini: Enhancing Threat Detection in Structured Security Logs. - Hengcheng Zhu, Songqiang Chen, Valerio Terragni, Lili Wei, Yepang Liu, Jiarong Wu, Shing-Chi Cheung:
LSPFuzz: Hunting Bugs in Language Servers. - Kung-Hsiang Huang, Haoyi Qiu, Yutong Dai, Caiming Xiong, Chien-Sheng Wu:
GUI-KV: Efficient GUI Agents via KV Cache with Spatio-Temporal Awareness. - Nandan Kumar Jha, Brandon Reagen:
Spectral Scaling Laws in Language Models: How Effectively Do Feed-Forward Networks Use Their Latent Space? - Ali M. Baydoun, Ahmed S. Zekri:
Towards Efficient VM Placement: A Two-Stage ACO-PSO Approach for Green Cloud Infrastructure. - Roman Dolgopolyi, Ioanna Amaslidou, Agrippina Margaritou:
Interpretable Machine Learning for Life Expectancy Prediction: A Comparative Study of Linear Regression, Decision Tree, and Random Forest. - Zeyu Chen, Yun Ji, Bowen Wang, Liwen Shi, Zijie Zeng, Sheng Zhang:
Flow of Knowledge: Federated Fine-Tuning of LLMs in Healthcare under Non-IID Conditions. - Minjae Oh, Sangjun Song, Seungkyu Lee, Sungmin Jo, Yohan Jo:
ThinkBrake: Mitigating Overthinking in Tool Reasoning. - Aoduo Li, Peikai Lin, Jiancheng Li, Zhen Zhang, Shiting Wu, Zexiao Liang, Zhifa Jiang:
Forestpest-YOLO: A High-Performance Detection Framework for Small Forestry Pests. - Kwanhyung Lee, Sungsoo Hong, Joonhyung Park, Jeonghyeop Lim, Juhwan Choi, Donghwee Yoon, Eunho Yang:
EMR-AGENT: Automating Cohort and Feature Extraction from EMR Databases. - Leopold Müller, Joshua Holstein, Sarah Bause, Gerhard Satzger, Niklas Kühl:
Data Quality Challenges in Retrieval-Augmented Generation. - Yuchen Cai, Ding Cao, Xin Xu, Zijun Yao, Yuqing Huang, Zhenyu Tan, Benyi Zhang, Guiquan Liu, Junfeng Fang:
On Predictability of Reinforcement Learning Dynamics for Large Language Models. - Andrew Gan, Zahra Ghodsi:
Sentry: Authenticating Machine Learning Artifacts on the Fly. - Niklas Gutheil, Valentin Mayer, Leopold Müller, Jörg Römmelt, Niklas Kühl:
PromptPilot: Improving Human-AI Collaboration Through LLM-Enhanced Prompt Engineering. - A. Calderon Hurtado, J. Xu, R. Salleh, D. Dias-da-Costa, M. Makki Alamdari:
Development and Field Validation of a Fully Customised Vehicle Scanning System on Two Full-Scale Bridges. - Henrik Pichler, Janis Keuper, Matthew Copping:
Assessing Foundation Models for Mold Colony Detection with Limited Training Data. - JingChuan Guan, Tomoyuki Kubota, Yasuo Kuniyoshi, Kohei Nakajima:
Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models. - Shojiro Yamabe, Jun Sakuma:
Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability. - Vansh Ramani, Alexis Schlomer, Akash Nayar, Sayan Ranu, Jignesh M. Patel, Panagiotis Karras:
Panorama: Fast-Track Nearest Neighbors. - Yubo Xie, Chenkai Wang, Zongyang Ma, Fahui Miao:
Are Large Language Models Chronically Online Surfers? A Dataset for Chinese Internet Meme Explanation. - Shiyu Li, Yang Tang, Yifan Wang, Peiming Li, Xi Chen:
ReSeek: A Self-Correcting Framework for Search Agents with Instructive Rewards. - Minghao Yang, Ren Togo, Guang Li, Takahiro Ogawa, Miki Haseyama:
Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task Learning. - Ahsan Farabi, Muhaiminul Rashid Shad, Israt Khandaker:
IntrusionX: A Hybrid Convolutional-LSTM Deep Learning Framework with Squirrel Search Optimization for Network Intrusion Detection. - Yen-Ling Tai, Yi-Ru Yang, Kuan-Ting Yu, Yu-Wei Chao, Yi-Ting Chen:
GRITS: A Spillage-Aware Guided Diffusion Policy for Robot Food Scooping Tasks. - Bo Li, Wei Wang, Peng Ye:
Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings. - Guozhen Zhang, Haiguang Wang, Chunyu Wang, Yuan Zhou, Qinglin Lu, Limin Wang:
Arbitrary Generative Video Interpolation. - Li Li, Ziyi Wang, Yongliang Wu, Jianfei Cai, Xu Yang:
CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs. - Sangmin Lee, Woongjib Choi, Jihyun Kim, Hong-Goo Kang:
SAGE-LD: Towards Scalable and Generalizable End-to-End Language Diarization via Simulated Data Augmentation. - Xinyang Shan, Yuanyuan Xu, Tian Xia, Yin-Shan Lin:
Rethinking Wine Tasting for Chinese Consumers: A Service Design Approach Enhanced by Multimodal Personalization. - Muragul Muratbekova, Nuray Toganas, Ayan Igali, Maksat Shagyrov, Elnara Kadyrgali, Adilet Yerkin, Pakizar Shamoi:
Color Models in Image Processing: A Review and Experimental Comparison. - Yen-Shan Chen, Sian-Yao Huang, Cheng-Lin Yang, Yun-Nung Chen:
Eyes-on-Me: Scalable RAG Poisoning through Transferable Attention-Steering Attractors. - Almamoon Alauthman:
Dynamic Low Power Traffic Pattern for Energy Constrained Wireless Sensor Networks. - Mohammad Ali, Fuhao Li, Jielun Zhang:
Signal Classification Recovery Across Domains Using Unsupervised Domain Adaptation. - Liyi Cai, Yijie Ren, Yitong Zhang, Jia Li:
AI-Driven Self-Evolving Software: A Promising Path Toward Software Automation. - Zesheng Li, Shuaibo Li, Wei Ma, Jianwei Guo, Hongbin Zha:
Multi-level Dynamic Style Transfer for NeRFs. - Lauri Kurki, Yaniel Cabrera, Samu Karanko:
Probability calibration for precipitation nowcasting. - Lefu Cai, Zhixin Liu, Minghui Song, Xianchao Wang:
A Computationally Efficient Finite Element Method for Shape Reconstruction of Inverse Conductivity Problems. - Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi:
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport. - Pietro Mazzaglia, Cansu Sancaktar, Markus Peschl, Daniel Dijkman:
Hybrid Training for Vision-Language-Action Models. - Amirhossein Afsharrad, Ahmadreza Moradipari, Sanjay Lall:
Multi-Agent Stage-wise Conservative Linear Bandits. - Sheng Jiang, Yuanmin Ning, Bingxi Huang, Peiyin Chen, Zhaohui Chen:
LVLMs as inspectors: an agentic framework for category-level structural defect annotation. - Yunbo Xu, Xuesong Zhang, Jia Li, Zhenzhen Hu, Richang Hong:
Disentangling Foreground and Background for vision-Language Navigation via Online Augmentation. - Xueze Kang, Guangyu Xiang, Yuxin Wang, Hao Zhang, Yuchu Fang, Yuhang Zhou, Zhenheng Tang, Youhui Lv, Eliran Maman, Mark Wasserman, Alon Zameret, Zhipeng Bian, Shushu Chen, Zhiyou Yu, Jin Wang, Xiaoyu Wu, Yang Zheng, Chen Tian, Xiaowen Chu:
ElasWave: An Elastic-Native System for Scalable Hybrid-Parallel Training. - Xinyang Shan, Yuanyuan Xu, Yuqing Wang, Tian Xia, Yinshan Lin:
Designing Wine Tasting Experiences for All: The role of Human Diversity and Personal food memory. - Minki Kang, Wei-Ning Chen, Dongge Han, Huseyin A. Inan, Lukas Wutschitz, Yanzhi Chen, Robert Sim, Saravan Rajmohan:
ACON: Optimizing Context Compression for Long-horizon LLM Agents. - Klára Janousková, Cristian Gavrus, Jiri Matas:
Robust Context-Aware Object Recognition. - Michiel Braat, Maren Buermann, Marijke van Weperen, Jan-Pieter Paardekooper:
What Did I Learn? Operational Competence Assessment for AI-Based Trajectory Planners. - Rosni Vasu, Peter A. Jansen, Pao Siangliulue, Cristina Sarasua, Abraham Bernstein, Peter Clark, Bhavana Dalvi Mishra:
HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation. - Yifei Gao, Yong Chen, Chen Zhang:
FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression. - Mengfei Xia, Nan Xue, Jiapeng Zhu, Yujun Shen:
UCD: Unconditional Discriminator Promotes Nash Equilibrium in GANs. - Wei Liu, Haomei Xu, Bingqing Liu, Zhiying Deng, Haozhao Wang, Jun Wang, Ruixuan Li, Yee Whye Teh, Wee Sun Lee:
Is Model Editing Built on Sand? Revealing Its Illusory Success and Fragile Foundation. - Chen-An Li, Tzu-Han Lin, Hung-yi Lee:
When Silence Matters: The Impact of Irrelevant Audio on Text Reasoning in Large Audio-Language Models. - Bingzhang Wang, Kehua Chen, Yinhai Wang:
Collaborative-Distilled Diffusion Models (CDDM) for Accelerated and Lightweight Trajectory Prediction. - Yu-Xiang Lin, Chen-An Li, Sheng-Lun Wei, Po-Chun Chen, Hsin-Hsi Chen, Hung-yi Lee:
Hearing the Order: Investigating Selection Bias in Large Audio-Language Models. - Teisovi Angami, Kevisino Khate:
Tenyidie Syllabification corpus creation and deep learning applications. - Federico Oliva, Tom Shaked, Daniele Carnevale, Amir Degani:
Trajectory Based Observer Design: A Framework for Lightweight Sensor Fusion. - Yannick Hauri, Luca A. Lanzendörfer, Till Aczel:
Virtual Fashion Photo-Shoots: Building a Large-Scale Garment-Lookbook Dataset. - Jiayao Jiang, Siran Peng, Bin Liu, Qi Chu, Nenghai Yu:
LAKAN: Landmark-assisted Adaptive Kolmogorov-Arnold Network for Face Forgery Detection. - Nanxiang Jiang, Zhaoxin Fan, Enhan Kang, Daiheng Gao, Yun Zhou, Yanxia Chang, Zheng Zhu, Yeying Jin, Wenjun Wu:
Erased, But Not Forgotten: Erased Rectified Flow Transformers Still Remain Unsafe Under Concept Attack. - Alessio Devoto, Maximilian Jeblick, Simon Jégou:
Expected Attention: KV Cache Compression by Estimating Attention from Future Queries Distribution. - Wing Chau Ng, Scott Yam:
On the Achievable Performance in the presence of Multiple Path Interference for Intra Data Center applications. - Bence Mark Halpern, Tomoki Toda:
Reference-free automatic speech severity evaluation using acoustic unit language modelling. - Kaja Gruntkowska, Alexander Gaponov, Zhirayr Tovmasyan, Peter Richtárik:
Error Feedback for Muon and Friends. - Haoyang Wang, Xinyu Luo, Wenhua Ding, Jingao Xu, Xuecheng Chen, Ruiyang Duan, Jialong Chen, Haitao Zhang, Yunhao Liu, Xinlei Chen:
Enabling High-Frequency Cross-Modality Visual Positioning Service for Accurate Drone Landing. - Jinlan Fu, Shenzhen Huangfu, Hao Fei, Yichong Huang, Xiaoyu Shen, Xipeng Qiu, See-Kiong Ng:
MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation. - Zahra Arjmandi-Lari, Alexios Mantzarlis, Tom Stafford:
Threats to the sustainability of Community Notes on X. - Ruan Bispo, Tim Brophy, Reenu Mohandas, Anthony G. Scanlan, Ciarán Eising:
FIN: Fast Inference Network for Map Segmentation. - Jieer Ouyang, Xiaoneng Xiang, Zheng Wang, Yangkai Ding:
OTTER: Open-Tagging via Text-Image Representation for Multi-modal Understanding. - Shaocong Zhu, Zhiwei Li, Xinghua Li, Huanfeng Shen:
Weakly Supervised Cloud Detection Combining Spectral Features and Multi-Scale Deep Network. - Bence Mark Halpern, Thomas B. Tienkamp, Teja Rebernik, Rob J. J. H. van Son, Sebastiaan A. H. J. de Visscher, Max J. H. Witjes, Defne Abur, Tomoki Toda:
XPPG-PCA: Reference-free automatic speech severity evaluation with principal components. - Beomsu Kim, Byunghee Cha, Jong Chul Ye:
Align Your Tangent: Training Better Consistency Models via Manifold-Aligned Tangents. - Huaying Li, Liansheng Wang, Yinran Chen:
Unsupervised Unfolded rPCA (U2-rPCA): Deep Interpretable Clutter Filtering for Ultrasound Microvascular Imaging. - François Ledoyen, Gaël Dias, Jérémie Pantin, Alexis Lechervy, Fabrice Maurel, Youssef Chahir:
Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation. - Giacomo Ignesti, Davide Moroni, Massimo Martinelli:
Batch-CAM: Introduction to better reasoning in convolutional deep learning models. - Francesco Galati, Daniele Falcetta, Rosa Cortese, Ferran Prados, Ninon Burgos, Maria A. Zuluaga:
Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement. - Leah Bar, Liron Mor-Yosef, Shai Zucker, Neta Shoham, Inbar Seroussi, Nir A. Sochen:
A Geometric Unification of Generative AI with Manifold-Probabilistic Projection Models. - Aaron Kujawa, Thomas C. Booth, Tom Vercauteren:
Beyond one-hot encoding? Journey into compact encoding for large multi-class segmentation. - Xiaojuan Zhang, Yonghong Zeng, Francois Chin Po Shin:
OTFS for Joint Radar and Communication: Algorithms, Prototypes, and Experiments. - Stefan Kitzler, Masarah Paquet-Clouston, Bernhard Haslhofer:
The Economic Impact of DeFi Crime Events on Decentralized Autonomous Organizations (DAOs). - Thong Nguyen, Yibin Lei, Jia-Huei Ju, Eugene Yang, Andrew Yates:
Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connector. - Konstantinos Karakatsanis, Georgios Alexopoulos, Ioannis Karyotakis, Foivos Timotheos Proestakis, Evangelos Talos, Panos Louridas, Dimitris Mitropoulos:
PyTrim: A Practical Tool for Reducing Python Dependency Bloat. - Zamir Martinez, Daniel Zelazo:
Formation Control via Rotation Symmetry Constraints. - Muhammad Ali Jamshed, Malik Muhammad Saad, Muhammad Ahmed Mohsin, Dongkyun Kim, Octavia A. Dobre, Halim Yanikomeroglu, Lina S. Mohjazi:
Net-Zero 6G from Earth to Orbit: Sustainable Design of Integrated Terrestrial and Non-Terrestrial Networks. - Hang Cui, Jingjing Li, Haotian Si, Quan Zhou, Changhua Pei, Gaogang Xie, Dan Pei:
TShape: Rescuing Machine Learning Models from Complex Shapelet Anomalies. - Jinchang Zhang, Zijun Li, Jiakai Lin, Guoyu Lu:
Adaptive Event Stream Slicing for Open-Vocabulary Event-Based Object Detection via Vision-Language Knowledge Distillation. - Shengzhi Wang, Niels Dehio, Xuanqi Zeng, Xian Yang, Lingwei Zhang, Yun-Hui Liu, K. W. Samuel Au:
Shared Object Manipulation with a Team of Collaborative Quadrupeds. - Steffen Meinert, Philipp Schlinge, Nils Strodthoff, Martin Atzmueller:
ProtoMask: Segmentation-Guided Prototype Learning. - Nurbek Tastan, Samuel Horvath, Karthik Nandakumar:
Stochastic Self-Organization in Multi-Agent Systems. - Chi-Huang Lin, Ting-Han Wei, Chun-Jui Wang, Hung Guei, Chung-Chin Shih, Yun-Jui Tsai, I-Chen Wu, Ti-Rong Wu:
Relevance-Zone Reduction in Game Solving. - Yunhao Wang, Ziting Li, Shuai Chen, Tao Liu, Chao Song, Junjie Jiang, Jian Zhu, Peng Gao, Bin Qin:
ACPO: Adaptive Curriculum Policy Optimization for Aligning Vision-Language Models in Complex Reasoning. - François Ledoyen, Gaël Dias, Alexis Lechervy, Jérémie Pantin, Fabrice Maurel, Youssef Chahir, Elisa Gouzonnat, Mélanie Berthelot, Stanislas Moravac, Armony Altinier, Amy Khairalla:
Inclusive Easy-to-Read Generation for Individuals with Cognitive Impairments. - Harethah Abu Shairah, Somayah AlHarbi, Abdulaziz AlHussein, Sameer Alsabea, Omar Shaqaqi, Hebah AlShamlan, Omar M. Knio, George Turkiyyah:
ALARB: An Arabic Legal Argument Reasoning Benchmark. - Myungkyu Koo, Daewon Choi, Taeyoung Kim, Kyungmin Lee, Changyeon Kim, Younggyo Seo, Jinwoo Shin:
HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy. - Fu-Chen Guo, Pei-Zhi Zhuang, Fei Ren, Hong-Ya Yue, He Yang:
Physics-Informed Extreme Learning Machine (PIELM) for Tunnelling-Induced Soil-Pile Interactions. - Jiakai Lin, Jinchang Zhang, Guoyu Lu:
Graph Integrated Multimodal Concept Bottleneck Model. - Andrea Bussolan, Stefano Baraldo, Oliver Avram, Pablo Urcola, Luis Montesano, Luca Maria Gambardella, Anna Valente:
MultiPhysio-HRC: Multimodal Physiological Signals Dataset for industrial Human-Robot Collaboration. - Sanghwan Kim, Rui Xiao, Stephan Alaniz, Yongqin Xian, Zeynep Akata:
Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs. - Yusif Ibrahimov, Tarique Anwar, Tommy Yuan, Turan Mutallimov, Elgun Hasanov:
AttentionDep: Domain-Aware Attention for Explainable Depression Severity Assessment. - Mohamed Mostafa:
Symbolic and High-Accuracy Solutions to Differential and Integral Problems via a Novel Recursive Inverse Laplace Method. - Uvini Ranaweera, Bawun Mawitagama, Sanduni Liyanage, Sandupa Keshan, Tiloka de Silva, Supun Hewawalpita:
Comparison of Machine Learning Models to Classify Documents on Digital Development. - Bernhard Heinzelreiter, John W. Pearson:
Carleman Linearization of Parabolic PDEs: Well-posedness, convergence, and efficient numerical methods. - Noortje I. P. Schueler, Nathan C. K. Wong, Richard J. Crawley, Josien P. W. Pluim, Amedeo Chiribiri, Cian M. Scannell:
Deep learning motion correction of quantitative stress perfusion cardiovascular magnetic resonance. - Annemarie Hoffsommer, Helen Schneider, Svetlana Pavlitska, J. Marius Zöllner:
DEAP DIVE: Dataset Investigation with Vision transformers for EEG evaluation. - Giovanni Minelli, Giulio Turrisi, Victor Barasuol, Claudio Semini:
CroSTAta: Cross-State Transition Attention Transformer for Robotic Manipulation. - Hongeun Kim, Bryan Sangwoo Kim, Jong Chul Ye:
Extreme Blind Image Restoration via Prompt-Conditioned Information Bottleneck. - Larissa Schmid, Elias Lundell, Yogya Gamage, Benoit Baudry, Martin Monperrus:
Maven-Lockfile: High Integrity Rebuild of Past Java Releases. - Yuchen Tian, Ruiyuan Huang, Xuanwu Wang, Jing Ma, Zengfeng Huang, Ziyang Luo, Hongzhan Lin, Da Zheng, Lun Du:
EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty. - Alessio Cristofoletto, Cesare Rollo, Giovanni Birolo, Piero Fariselli:
Neural Diffusion Processes for Physically Interpretable Survival Prediction. - Georgia Fragkouli, Laurent Vanbever:
Faster Offloads by Unloading them - The RDMA Case. - Helen Schneider, Svetlana Pavlitska, Helen Gremmelmaier, J. Marius Zöllner:
Datasets for Valence and Arousal Inference: A Survey. - Marco Bagatella, Matteo Pirotta, Ahmed Touati, Alessandro Lazaric, Andrea Tirinzoni:
TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning. - Victor Brabant, Angela Bonifati, Rémy Cazabet:
Discovering Communities in Continuous-Time Temporal Networks by Optimizing L-Modularity. - Nouha Karaouli, Denis Coquenet, Elisa Fromont, Martial Mermillod, Marina Reyboz:
How Foundational are Foundation Models for Time Series Forecasting? - Yifei Cao, Changhao Jiang, Jiabao Zhuang, Jiajun Sun, Ming Zhang, Zhiheng Xi, Hui Li, Shihan Dou, Yuran Wang, Yunke Zhang, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang:
From Scores to Preferences: Redefining MOS Benchmarking for Speech Quality Reward Modeling. - Andrés Laveda-Martínez, Natalia P. García-de-la-Puente, Fernando García-Torres, Niels Møller Israelsen, Ole Bang, Dominik Brouczek, Niels Benson, Adrián Colomer, Valery Naranjo:
Defect Segmentation in OCT scans of ceramic parts for non-destructive inspection using deep learning. - Juan Amboage, Ernst Röell, Patrick Schnider, Bastian Rieck:
LEAP: Local ECT-Based Learnable Positional Encodings for Graphs. - Davide Rucci, Emanuele Carlini, Patrizio Dazzi, Hanna Kavalionak, Matteo Mordacchini:
Decentralized and Self-adaptive Core Maintenance on Temporal Graphs. - Yicheng Lang, Yihua Zhang, Chongyu Fan, Changsheng Wang, Jinghan Jia, Sijia Liu:
Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning. - Rudrajit Choudhuri, Carmen Badea, Christian Bird, Jenna L. Butler, Rob DeLine, Brian Houck:
AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work. - Maximilian Reif, Jens Zumbrägel:
A Monoid Ring Approach to Color Visual Cryptography. - Eunki Kim, Na Min An, James Thorne, Hyunjung Shim:
Multi-Objective Task-Aware Predictor for Image-Text Alignment. - Joana Cabral Costa, Tiago Roxo, Hugo Proença, Pedro R. M. Inácio:
ZQBA: Zero Query Black-box Adversarial Attack. - Tianle Ni, Xiao Chen, Hamid Sadeghian, Sami Haddadin:
Tele-rehabilitation with online skill transfer and adaptation in ℝ3 ⨉ S3. - Haifei Zhang, Patrick Barry, Eduardo Brandao:
Uncertainty-Aware Concept Bottleneck Models with Enhanced Interpretability. - Youngbin Choi, Minjong Lee, Saemi Moon, Seunghyuk Cho, Chaehyeon Chung, MoonJeong Park, Dongwoo Kim:
In-Place Feedback: A New Paradigm for Guiding LLMs in Multi-Turn Reasoning. - Seunghoo Hong, Geonho Son, Juhun Lee, Simon S. Woo:
DIA: The Adversarial Exposure of Deterministic Inversion in Diffusion Models. - Thanh Nguyen Canh, Haolan Zhang, Xiem HoangVan, Nak Young Chong:
Semantic Visual Simultaneous Localization and Mapping: A Survey on State of the Art, Challenges, and Future Directions. - Bar Mahpud, Or Sheffet:
Differentially Private Learning of Exponential Distributions: Adaptive Algorithms and Tight Bounds. - Jos A. Hageman, Carel F. W. Peeters:
AI in data science education: experiences from the classroom. - Bastien Morel, Clément Moulin-Frier, Pascal Barla:
Complex System Exploration with Interactive Human Guidance. - Anastasia Vepreva, Julia Razlivina, Maria Eremeeva, Nina Gubina, Anastasia Orlova, Aleksei Dmitrenko, Ksenya Kapranova, Susan Jyakhwo, Nikita Vasilev, Arsen Sarkisyan, Ivan Yu. Chernyshov, Vladimir Vinogradov, Andrei Dmitrenko:
Benchmarking Agentic Systems in Automated Scientific Information Extraction with ChemX. - Yifan Shen, Yangyang Shu, Hye-young Paik, Yulei Sui:
MetaLogic: Robustness Evaluation of Text-to-Image Models via Logically Equivalent Prompts. - Ruyu Liu, Dongxu Zhuang, Jianhua Zhang, Arega Getaneh Abate, Per Sieverts Nielsen, Ben Wang, Xiufeng Liu:
Solar PV Installation Potential Assessment on Building Facades Based on Vision and Language Foundation Models. - Gautier Evennou, Vivien Chappelier, Ewa Kijak:
Fast, Secure, and High-Capacity Image Watermarking with Autoencoded Text Vectors. - Gaëlle Milon-Harnois, Chaimaa Touhami, Nicolas Gutowski, Benoit Da Mota, Thomas Cauchy:
Guiding Evolutionary Molecular Design: Adding Reinforcement Learning for Mutation Selection. - Federico Cinus, Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi:
Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits. - Rui Zhu, Xuan Yu, Yudong Zhang, Chen Zhang, Xu Wang, Yang Wang:
MG2FlowNet: Accelerating High-Reward Sample Generation via Enhanced MCTS and Greediness Control. - Fan Yang, Zhiyang Chen, Yousong Zhu, Xin Li, Jinqiao Wang:
From Seeing to Predicting: A Vision-Language Framework for Trajectory Forecasting and Controlled Video Generation. - Divy Kala, Eshika Khandelwal, Makarand Tapaswi:
What You See is What You Ask: Evaluating Audio Descriptions. - Nouha Karaouli, Denis Coquenet, Elisa Fromont, Martial Mermillod, Marina Reyboz:
Are Time Series Foundation Models Susceptible to Catastrophic Forgetting? - Jenny Kunz, Iben Nyholm Debess, Annika Simonsen:
Family Matters: Language Transfer and Merging for Adapting Small LLMs to Faroese. - Kai Tang, Dipankar Bhattacharya, Hang Xu, Fuyuki Tokuda, Norman C. Tien, Kazuhiro Kosuge:
RTFF: Random-to-Target Fabric Flattening Policy using Dual-Arm Manipulator. - Alexandre Galashov, Ashwini Pokle, Arnaud Doucet, Arthur Gretton, Mauricio Delbracio, Valentin De Bortoli:
Learn to Guide Your Diffusion Model. - Nicholas Leisegang, Giovanni Casini, Thomas Andreas Meyer:
Semantic Bridges Between First Order c-Representations and Cost-Based Semantics: An Initial Perspective. - Thomas Campagnolo, Ezio Malis, Philippe Martinet, Gaétan Bahl:
PhraseStereo: The First Open-Vocabulary Stereo Image Segmentation Dataset. - Luckeciano C. Melo, Alessandro Abate, Yarin Gal:
Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning. - Xiangtao Kong, Rongyuan Wu, Shuaizheng Liu, Lingchen Sun, Lei Zhang:
NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution. - Andrés Corrada-Emmanuel:
Logical Consistency Between Disagreeing Experts and Its Role in AI Safety. - Sairam Sri Vatsavai, Raees Khan, Kuan-Chieh Hsu, Ozgur O. Kilic, Paul Nilsson, Tatiana Korchuganova, David Keetae Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. - Xiaoye Michael Wang, Ali Mazalek, Catherine M. Sabiston, Timothy N. Welsh:
Virtual Reality Alters Perceived Functional Body Size. - Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sankha Dutta, Yihui Ren, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
Data Management System Analysis for Distributed Computing Workloads. - Yanming Sun, Runzhe Zhan, Chi Seng Cheang, Han Wu, Xuebo Liu, Yuyao Niu, Fengying Ye, Kaixin Lan, Lidia S. Chao, Derek F. Wong:
Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation. - Julian Oelhaf, Georg Kordowich, Changhun Kim, Paula Andrea Pérez-Toro, Christian Bergler, Andreas K. Maier, Johann Jäger, Siming Bayer:
Benchmarking Machine Learning Models for Fault Classification and Localization in Power System Protection. - Leonid Antipov, Stefan Kratsch:
Boundaried Kernelization via Representative Sets. - Thanh Linh Nguyen, Marcela Tuler de Oliveira, An Braeken, Aaron Yi Ding, Quoc-Viet Pham:
Towards Verifiable Federated Unlearning: Framework, Challenges, and The Road Ahead. - Jieun Yu, Minjung Park, Sangmi Chai:
Improving Cryptocurrency Pump-and-Dump Detection through Ensemble-Based Models and Synthetic Oversampling Techniques. - Julius Ott, Nastassia Vysotskaya, Huawei Sun, Lorenzo Servadei, Robert Wille:
Feature Identification for Hierarchical Contrastive Learning. - Chao-Kai Chiang, Takashi Ishida, Masashi Sugiyama:
LLM Routing with Dueling Feedback. - Jianhao Chen, Chenxu Wang, Gengrui Zhang, Peng Ye, Lei Bai, Wei Hu, Yuzhong Qu, Shuyue Hu:
Learning Compact Representations of LLM Abilities via Item Response Theory. - Maxime Méloux, François Portet, Maxime Peyrard:
Mechanistic Interpretability as Statistical Estimation: A Variance Analysis of EAP-IG. - Kevin Zhang, Kuangzhi Ge, Xiaowei Chi, Renrui Zhang, Shaojun Shi, Zhen Dong, Sirui Han, Shanghang Zhang:
Can World Models Benefit VLMs for World Dynamics? - Adi Simhi, Jonathan Herzig, Martin Tutek, Itay Itzhak, Idan Szpektor, Yonatan Belinkov:
ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs. - Julie Rousseau, Hanmin Cai, Philipp Heer, Kristina Orehounig, Gabriela Hug:
Uncertainty-Aware Flexibility of Buildings: From Quantification to Provision. - Tanay Rastogi, Daniel R. Jonsson, Anders Karlström:
Population Synthesis using Incomplete Information. - Ziliang Wang, Kang An, Xuhui Zheng, FaQiang Qian, Wenjun Zhang, Cijun Ouyang, Jialu Cai, Yuhang Wang, Yichao Wu:
Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs. - Hyun-kyu Ko, Youbin Kim, Jihyeon Park, Dongheok Park, Gyeongjin Kang, Wonjun Cho, Hyung Yi, Eunbyung Park:
Gather-Scatter Mamba: Accelerating Propagation with Efficient State Space Model. - Thiziri Nait Saada, Louis Béthune, Michal Klein, David Grangier, Marco Cuturi, Pierre Ablin:
The Data-Quality Illusion: Rethinking Classifier-Based Quality Filtering for LLM Pretraining. - Tanay Rastogi, Daniel Jonsson:
Target Population Synthesis using CT-GAN. - Kristoffer Christensen, Bo Nørregaard Jørgensen, Zheng Grace Ma:
A Visual Diagnostics Framework for District Heating Data: Enhancing Data Quality for AI-Driven Heat Consumption Prediction. - Fernanda Zapata Bascuñán, Darío Fernando Mendieta:
Reducción de ruido por medio de autoencoders: caso de estudio con la señal GW150914. - Pietro Totis, Alberto Pozanco, Daniel Borrajo:
Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery. - Rodrigo Lankaites Pinheiro, Dario Landa-Silva, Jason A. D. Atkin:
A Technique Based on Trade-off Maps to Visualise and Analyse Relationships Between Objectives in Optimisation Problems. - Loris Bergeron, Ioana Buhnila, Jérôme François, Radu State:
HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation. - Patrizio Migliarini, Mashal Afzal Memon, Marco Autili, Paola Inverardi:
Advancing Automated Ethical Profiling in SE: a Zero-Shot Evaluation of LLM Reasoning. - Roshan Kenia, Anfei Li, Rishabh Srivastava, Kaveri A. Thakoor:
AI-CNet3D: An Anatomically-Informed Cross-Attention Network with Multi-Task Consistency Fine-tuning for 3D Glaucoma Classification. - José I. Mestre, Alberto Fernández-Hernández, Cristian Pérez-Corral, Manuel F. Dolz, José Duato, Enrique S. Quintana-Ortí:
GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling. - Benjamin Alheit, Mathias Peirlinck, Siddhant Kumar:
COMMET: orders-of-magnitude speed-up in finite element method via batch-vectorized neural constitutive updates. - Alex Ayoub, David Szepesvari, Alireza Baktiari, Csaba Szepesvári, Dale Schuurmans:
Rectifying Regression in Reinforcement Learning. - Soyoung Yoon, Jongho Kim, Daeyong Kwon, Avishek Anand, Seung-won Hwang:
On Listwise Reranking for Corpus Feedback. - Zhen Yin, Shenghua Wang:
Span-level Detection of AI-generated Scientific Text via Contrastive Learning and Structural Calibration. - Ran Liu, Yuan Fang, Xiaoli Li:
FusionAdapter for Few-Shot Relation Learning in Multimodal Knowledge Graphs. - Yucheng Lu, Hubert Dariusz Zajac, Veronika Cheplygina, Amelia Jiménez-Sánchez:
Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification. - Erfan Delfani, Nikolaos Pappas:
Optimizing Version AoI in Energy-Harvesting IoT: Model-Based and Learning-Based Approaches. - Julian Lemmel, Manuel Kranzl, Adam Lamine, Philipp Neubauer, Radu Grosu, Sophie A. Neubauer:
TubeDAgger: Reducing the Number of Expert Interventions with Stochastic Reach-Tubes. - Bich-Chung Phan, Thanh Ma, Huu-Hoa Nguyen, Thanh-Nghi Do:
BoMGene: Integrating Boruta-mRMR feature selection for enhanced Gene expression classification. - Roksana Goworek, Olivia Macmillan-Scott, Eda B. Özyigit:
Bridging Language Gaps: Advances in Cross-Lingual Information Retrieval with Multilingual LLMs. - Alexandra Klymenko, Stephen Meisenbacher, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes:
"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe. - Ali Shadman Yazdi, Annalisa Cappella, Benedetta Baldini, Riccardo Solazzo, Gianluca Martino Tartaglia, Chiarella Sforza, Giuseppe Baselli:
PAL-Net: A Point-Wise CNN with Patch-Attention for 3D Facial Landmark Localization. - Tao Ren, Jinyang Jiang, Hui Yang, Wan Tian, Minhao Zou, Guanghao Li, Zishi Zhang, Qinghao Wang, Shentao Qin, Yanjun Zhao, Rui Tao, Hui Shao, Yijie Peng:
RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training. - Xin-Qiang Cai, Wei Wang, Feng Liu, Tongliang Liu, Gang Niu, Masashi Sugiyama:
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers. - Shunfeng Zheng, Yudi Zhang, Meng Fang, Zihan Zhang, Zhitan Wu, Mykola Pechenizkiy, Ling Chen:
Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving. - Songqiang Chen, Congying Xu, Jingyi Chen, Jialun Cao, Jiarong Wu, Shing-Chi Cheung:
Can Emulating Semantic Translation Help LLMs with Code Translation? A Study Based on Pseudocode. - Shashank Reddy Chirra, Jayden Teoh, Praveen Paruchuri, Pradeep Varakantham:
On Discovering Algorithms for Adversarial Imitation Learning. - Victor Sechaud, Jérémy Scanvic, Quentin Barthélemy, Patrice Abry, Julián Tachella:
Equivariant Splitting: Self-supervised learning from incomplete data. - Ammar Khairi, Daniel D'souza, Marzieh Fadaee, Julia Kreutzer:
Making, not Taking, the Best of N. - Mohammad Zaeed, Tanzima Z. Islam, Vladimir Indic:
Opal: A Modular Framework for Optimizing Performance using Analytics and LLMs. - Sára Strakosová, Petr Novák, Petr Kadera:
Product-oriented Product-Process-Resource Asset Network and its Representation in AutomationML for Asset Administration Shell. - Zanwu Liu, Chao Yuan, Bo Li, Xiaowei Zhang, Guanglin Niu:
Looking Alike From Far to Near: Enhancing Cross-Resolution Re-Identification via Feature Vector Panning. - Shengyun Peng, Eric Smith, Ivan Evtimov, Song Jiang, Pin-Yu Chen, Hongyuan Zhan, Haozhu Wang, Duen Horng Chau, Mahesh Pasupuleti, Jianfeng Chi:
Large Reasoning Models Learn Better Alignment from Flawed Thinking. - Pouya Firouzmakan, Suprakash Datta:
Enhancing Urban VANETs Stability: A Single-Hop Clustering Strategy in Metropolitan Environments. - Reza Vafaee, Kian Behzad, Milad Siami, Luca Carlone, Ali Jadbabaie:
Non-submodular Visual Attention for Robot Navigation. - Hang Zhou, Yuxin Yang, Branislav Hredzak, John Edward Fletcher:
Accurate Small-Signal Modeling of Digitally Controlled Buck Converters with ADC-PWM Synchronization. - Shiza Andleeb, Brandon Kantorski, Jeffrey C. Carver:
ChatGPT in Introductory Programming: Counterbalanced Evaluation of Code Quality, Conceptual Learning, and Student Perceptions. - Ziqing Zhang, Kai Liu, Zheng Chen, Xi Li, Yucong Chen, Bingnan Duan, Linghe Kong, Yulun Zhang:
InfVSR: Breaking Length Limits of Generic Video Super-Resolution. - Christian Oliva, Silviu Gabriel Tinjala:
Modeling Market States with Clustering and State Machines. - Carlos Güemes-Palau, Miquel Ferriol Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Bridging the Gap Between Simulated and Real Network Data Using Transfer Learning. - Shiza Andleeb, Teo Mendoza, Lucas Cordova, Gursimran Singh Walia, Jeffrey C. Carver:
Enhancing Software Testing Education: Understanding Where Students Struggle. - Yoonju Sim, Hyeonah Kim, Changhyun Kwon:
Test-Time Search in Neural Graph Coarsening Procedures for the Capacitated Vehicle Routing Problem. - Miha Ozbot, Igor Skrjanc, Vitomir Struc:
A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting. - Eileen Pan, Anna Seo Gyeong Choi, Maartje ter Hoeve, Skyler Seto, Allison Koenecke:
Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks. - Carl Philipp Hohl, Philipp Reis, Tobias Schürmann, Stefan Otten, Eric Sax:
Structuring Automotive Data for Systems Engineering: A Taxonomy-Based Approach. - Aakash Gautam, Chandani Shrestha, Deborah G. Tatar, Steve Harrison:
Social Photo-Elicitation: The Use of Communal Production of Meaning to Hear a Vulnerable Population. - Yilong Feng, Haolong Li, Xiaowei Wu, Shengwei Zhou:
Degree-bounded Online Bipartite Matching: OCS vs. Ranking. - Sara Saad Soliman, Ahmed Younes, Islam Elkabani, Ashraf Elsayed:
Deep Learning-Based Approach for Improving Relational Aggregated Search. - Cong Yu, Valter Uotila, Shilong Deng, Qingyuan Wu, Tuo Shi, Songlin Jiang, Lei You, Bo Zhao:
QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL. - Siheng Wang, Zhengtao Yao, Zhengdao Li, Junhao Dong, Yanshu Li, Yikai Li, Linshan Li, Haoyan Xu, Yijiang Li, Zhikang Dong, Huacan Wang, Jifeng Shen:
JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation. - Aueaphum Aueawatthanaphisut:
Adaptive Federated Few-Shot Rare-Disease Diagnosis with Energy-Aware Secure Aggregation. - Yihong Wu, Liheng Ma, Lei Ding, Muzhi Li, Xinyu Wang, Kejia Chen, Zhan Su, Zhanguang Zhang, Chenyang Huang, Yingxue Zhang, Mark Coates, Jian-Yun Nie:
It Takes Two: Your GRPO Is Secretly DPO. - Axel Barroso-Laguna, Tommaso Cavallari, Victor Adrian Prisacariu, Eric Brachmann:
A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features. - Jiaqi Li, Yao Qian, Yuxuan Hu, Leying Zhang, Xiaofei Wang, Heng Lu, Manthan Thakker, Jinyu Li, Sheng Zhao, Zhizheng Wu:
FlexiCodec: A Dynamic Neural Audio Codec for Low Frame Rates. - Chaoran Cheng, Yusong Wang, Yuxin Chen, Xiangxin Zhou, Nanning Zheng, Ge Liu:
Riemannian Consistency Model. - Lyuzhu Pan, Hongcai Zhang:
Real-time Operation of Electric Autonomous Mobility-on-Demand System Considering Power System Regulation. - Nicolas Fracaro, Stefano Cecconello, Mauro Conti, Niccolò Di Marco, Alessandro Galeazzi:
Disc-Cover Complexity Trends in Music Illustrations from Sinatra to Swift. - Ziteng Chen, Xiaohe Hu, Menghao Zhang, Yanmin Jia, Yan Zhang, Mingjun Zhang, Da Liu, Fangzheng Jiao, Jun Chen, He Liu, Aohan Zeng, Shuaixing Duan, Ruya Gu, Yang Jing, Bowen Han, Jiahao Cao, Wei Chen, Wenqi Xie, Jinlong Hou, Yuan Cheng, Bohua Xu, Mingwei Xu, Chunming Hu:
An Efficient, Reliable and Observable Collective Communication Library in Large-scale GPU Training Clusters. - Lyuzhu Pan, Hongcai Zhang:
Optimal Pricing of Electric Vehicle Charging on Coupled Power-Transportation Network based on Generalized Sensitivity Analysis. - Jiamian Wang, Ziqi Zhou, Chaithanya Kumar Mummadi, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Chen Qiu, Zhiqiang Tao:
Visual Self-Refinement for Autoregressive Models. - Jacob Moore, Phil Tokumaru, Ian Reid, Brandon Sutherland, Joseph Ritchie, Gabe Snow, Tim McLain:
ROSflight 2.0: Lean ROS 2-Based Autopilot for Unmanned Aerial Vehicles. - Dongli Xu, Aleksei Tiulpin, Matthew B. Blaschko:
SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model. - Sean Baccas, Alexander A. Belozerov, Eike H. Müller, Tobias Weinzierl:
Implementation techniques for multigrid solvers for high-order Discontinuous Galerkin methods. - Chengran Yang, Ting Zhang, Jinfeng Jiang, Xin Zhou, Haoye Tian, Jieke Shi, Junkai Chen, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo:
Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework. - Boshi Wang, Weijian Xu, Yunsheng Li, Mei Gao, Yujia Xie, Huan Sun, Dongdong Chen:
Improving Code Localization with Repository Memory. - Qiming Zhao, Xingjian Li, Xiaoyu Cao, Xiaolong Wu, Min Xu:
TextCAM: Explaining Class Activation Map with Text. - Saravanan Venkatachalam:
Integrating AI and Ensemble Forecasting: Explainable Materials Planning with Scorecards and Trend Insights for a Large-Scale Manufacturer. - Jinfeng Chen, Zhiqiang Gao, Qin Lin:
A Model-Based Extended State Observer for Discrete-Time Linear Multivariable Systems. - Ashim Dahal, Ankit Ghimire, Saydul Akbar Murad, Nick Rahimi:
POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency. - Yuxiang Guo, Jiang Liu, Ze Wang, Hao Chen, Ximeng Sun, Yang Zhao, Jialian Wu, Xiaodong Yu, Zicheng Liu, Emad Barsoum:
ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning. - Maximilian Gollwitzer, Felix Dietrich:
Random Feature Spiking Neural Networks. - Weihua Zhang, Chengze Jiang, Jie Gui, Lu Dong:
Towards Adversarial Training under Hyperspectral Images. - Niloufar Hosseinzadeh, Mohsen Moradi, Hessam Mahdavifar:
Layered Normalized Min-Sum Decoding with Bit Flipping for FDPC Codes. - Tavor Z. Baharav, Spyros Dragazis, Aldo Pacchiano:
The Good, the Bad, and the Sampled: a No-Regret Approach to Safe Online Classification. - David R. Johnson, Rishabh Anand, Smita Krishnaswamy, Michael Perlmutter:
Equivariant Geometric Scattering Networks via Vector Diffusion Wavelets. - Sergei Satsevich, Artem Bazhenov, Sergei Egorov, Artem Erkhov, Maxim Gromakov, Aleksey Fedoseev, Dzmitry Tsetserukou:
Prometheus: Universal, Open-Source Mocap-Based Teleoperation System with Force Feedback for Dataset Collection in Robot Learning. - Elvis Júnior, Alan Valejo, Jorge Valverde-Rebaza, Vânia de Oliveira Neves:
GenIA-E2ETest: A Generative AI-Based Approach for End-to-End Test Automation. - Federico Tiblias, Irina Bigoulaeva, Jingcheng Niu, Simone Balloccu, Iryna Gurevych:
Shape Happens: Automatic Feature Manifold Discovery in LLMs via Supervised Multi-Dimensional Scaling. - Ruqian Zhang, Yijiao Zhang, Juan Shen, Zhongyi Zhu, Annie Qu:
Syntax-Guided Diffusion Language Models with User-Integrated Personalization. - Zach Studdiford, Timothy T. Rogers, Kushin Mukherjee, Siddharth Suresh:
Uncovering the Computational Ingredients of Human-Like Representations in LLMs. - Pol Labarbarie, Vincent Itier, William Puech:
Secure and reversible face anonymization with diffusion models. - Zeru Shi, Yingjia Wan, Zhenting Wang, Qifan Wang, Fan Yang, Elisa Kreiss, Ruixiang Tang:
Meaningless Tokens, Meaningful Gains: How Activation Shifts Enhance LLM Reasoning. - Yongcheng Zeng, Zexu Sun, Bokai Ji, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Haifeng Zhang, Xu Chen, Jun Wang:
CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs. - Akchunya Chanchal, David A. Kelly, Hana Chockler:
Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI. - Vikas Dwivedi, Enrico Schiassi, Monica Sigovan, Bruno Sixou:
Gated X-TFC: Soft Domain Decomposition for Forward and Inverse Problems in Sharp-Gradient PDEs. - Eurico L. P. Ruivo, Pedro Paulo Balbi, Kévin Perrot, Marco Montalva-Medel, Eric Goles:
Solving decision problems by distributed consensus with one-dimensional, binary, radius-2 cellular automata over cyclic configurations. - Ian Reid, Joseph Ritchie, Jacob Moore, Brandon Sutherland, Gabe Snow, Phillip Tokumaru, Tim McLain:
ROSplane 2.0: A Fixed-Wing Autopilot for Research. - Junfeng Cai, Marco Lovera:
Gain-Scheduled Passive Fault-Tolerant Control Design for Dual-System UAV Transition Flight. - Xiao Li, Jiaqi Zhang, Shuxiang Zhang, Tianshui Chen, Liang Lin, Guangrun Wang:
Authentic Discrete Diffusion Model. - Nils Feldhus, Laura Kopf:
Interpreting Language Models Through Concept Descriptions: A Survey. - Abdelrhman Werby, Dennis Rotondi, Fabio Scaparro, Kai O. Arras:
KeySG: Hierarchical Keyframe-Based 3D Scene Graphs. - Pengyu Ren, Wei Sun, Yifan Wang, Gareth P. Harrison:
Grid Frequency Stability Support Potential of Data Center: A Quantitative Assessment of Flexibility. - Zichen Liu, Anya Sims, Keyu Duan, Changyu Chen, Simon Yu, Xiangxin Zhou, Haotian Xu, Shaopan Xiong, Bo Liu, Chenmien Tan, Chuen Yang Beh, Weixun Wang, Hao Zhu, Weiyan Shi, Diyi Yang, Michael Shieh, Yee Whye Teh, Wee Sun Lee, Min Lin:
GEM: A Gym for Agentic LLMs. - Samin Mahdipour Aghabagher, Saeedeh Momtazi:
Hybrid Dialogue State Tracking for Persian Chatbots: A Language Model-Based Approach. - Juan Augusto Paredes Salazar, James Usevitch, Ankit Goel:
Predictive Control Barrier Functions for Discrete-Time Linear Systems with Unmodeled Delays. - Mark Boss, Andreas Engelhardt, Simon Donné, Varun Jampani:
ReSWD: ReSTIR'd, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction. - Jiahang Cao, Yize Huang, Hanzhong Guo, Rui Zhang, Mu Nan, Weijian Mai, Jiaxu Wang, Hao Cheng, Jingkai Sun, Gang Han, Wen Zhao, Qiang Zhang, Yijie Guo, Qihao Zheng, Chunfeng Song, Xiao Li, Ping Luo, Andrew F. Luo:
Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition. - Elija Perrier:
Typed Chain-of-Thought: A Curry-Howard Framework for Verifying LLM Reasoning. - Bartosz Cywinski, Emil Ryd, Rowan Wang, Senthooran Rajamanoharan, Neel Nanda, Arthur Conmy, Samuel Marks:
Eliciting Secret Knowledge from Language Models. - Alex Le Blanc, Patrick Lam:
Lessons Learned So Far From a Community Effort to Verify the Rust Standard Library (work-in-progress). - Mahyar Mahmoudi, Tieming Liu:
Predicting Diabetic Retinopathy Using a Two-Level Ensemble Model. - Haonan Wang, Junfeng Sun, Mingjia Zhao, Wei Liu:
Research on the Integration of Embodied Intelligence and Reinforcement Learning in Textual Domains. - Daniele Bifolco, Guido Annicchiarico, Pierluigi Barbiero, Massimiliano Di Penta, Fiorella Zampetti:
CodeGenLink: A Tool to Find the Likely Origin and License of Automatically Generated Code. - Tarikul Islam Tamiti, Biraj Joshi, Rida Hasan, Anomadarshi Barua:
HVAC-EAR: Eavesdropping Human Speech Using HVAC Systems. - Andy Wu, Chun-Cheng Lin, Rung-Tzuo Liaw, Yuehua Huang, Chihjung Kuo, Chia Tong Weng:
Multi-Actor Multi-Critic Deep Deterministic Reinforcement Learning with a Novel Q-Ensemble Method. - Guobin Shen, Dongcheng Zhao, Haibo Tong, Jindong Li, Feifei Zhao, Yi Zeng:
Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-Defense. - Viktor Sip, Martin Breyton, Spase Petkoski, Viktor K. Jirsa:
Dynamical system reconstruction from partial observations using stochastic dynamics. - Alexander Nasuta, Alessandro Cisi, Sylwia Olbrych, Gustavo Vieira, Rui Fernandes, Lucas Paletta, Marlene Mayr, Rishyank Chevuri, Robert Woitsch, Hans Aoyang Zhou, Anas Abdelrazeq, Robert H. Schmitt:
Optimizing Fairness in Production Planning: A Human-Centric Approach to Machine and Workforce Allocation. - Nathan Wintersgill, Trevor Stalnaker, Daniel Otten, Laura A. Heymann, Oscar Chaparro, Massimiliano Di Penta, Daniel M. Germán, Denys Poshyvanyk:
Developers' Perspectives on Software Licensing: Current Practices, Challenges, and Tools. - Zhixin Dong, Xian Xu, Yuhang Zeng, Mingchao Wan, Chunmiao Li:
Universally Composable Termination Analysis of Tendermint. - George Andriopoulos, Zixuan Dong, Bimarsha Adhikari, Keith W. Ross:
Geometric Properties of Neural Multivariate Regression. - Daniel Hathcock, R. Ravi:
Perfect Fractional Matchings in Bipartite Graphs Via Proportional Allocations. - Tarikul Islam Tamiti, Anomadarshi Barua:
NLDSI-BWE: Non Linear Dynamical Systems-Inspired Multi Resolution Discriminators for Speech Bandwidth Extension. - Felix Parker, Nimeesha Chan, Chi Zhang, Kimia Ghobadi:
Augmenting LLMs for General Time Series Understanding and Prediction. - Kassahun Azezew, Minyechil Alehegn, Tsega Asresa, Bitew Mekuria, Tizazu Bayih, Ayenew Kassie, Amsalu Tesema, Animut Embiyale:
Privacy Preserved Federated Learning with Attention-Based Aggregation for Biometric Recognition. - Lionel M. Levine, John Santerre, Alexander S. Young, T. Barry Levine, Francis Campion, Majid Sarrafzadeh:
PRISM-Consult: A Panel-of-Experts Architecture for Clinician-Aligned Diagnosis. - Evan Heus, Rick Bookstaber, Dhruv Sharma:
Exploring Network-Knowledge Graph Duality: A Case Study in Agentic Supply Chain Risk Analysis. - Felix Parker, Nimeesha Chan, Chi Zhang, Kimia Ghobadi:
Eliciting Chain-of-Thought Reasoning for Time Series Analysis using Reinforcement Learning. - Sarwan Ali, Haris Mansoor, Murray Patterson:
Breaking the Euclidean Barrier: Hyperboloid-Based Biological Sequence Analysis. - Zhanpeng Luo, Haoxi Ran, Li Lu:
Instant4D: 4D Gaussian Splatting in Minutes. - Lovish Madaan, Aniket Didolkar, Suchin Gururangan, John Quan, Ruan Silva, Ruslan Salakhutdinov, Manzil Zaheer, Sanjeev Arora, Anirudh Goyal:
Rethinking Thinking Tokens: LLMs as Improvement Operators. - Yuxiang Feng, Keyang Zhang, Hassane Ouchouid, Ashwil Kaniamparambil, Ioannis Souflas, Panagiotis Angeloudis:
Strategic Fusion of Vision Language Models: Shapley-Credited Context-Aware Dawid-Skene for Multi-Label Tasks in Autonomous Driving. - Ruiyi Wang, Prithviraj Ammanabrolu:
A Practitioner's Guide to Multi-turn Agentic Reinforcement Learning. - Zhaolin Gao, Joongwon Kim, Wen Sun, Thorsten Joachims, Sid Wang, Richard Yuanzhe Pang, Liang Tan:
Prompt Curriculum Learning for Efficient LLM Post-Training. - Vincent Ochs, Florentin Bieder, Sidaty El Hadramy, Paul Friedrich, Stephanie Taha-Mehlitz, Anas Taha, Philippe C. Cattin:
TabINR: An Implicit Neural Representation Framework for Tabular Data Imputation. - Ali Dadsetan, Frank Rudzicz:
Sample-Efficient Differentially Private Fine-Tuning via Gradient Matrix Denoising. - Matthew Woodward:
Real-Time Trajectory Generation and Hybrid Lyapunov-Based Control for Hopping Robots. - Shruthan Radhakrishna, Aman Tiwari, Aanjaneya Shukla, Masoud Hashemi, Rishabh Maheshwary, Shiva Krishna Reddy Malay, Jash Mehta, Pulkit Pattnaik, Saloni Mittal, Khalil Slimi, Kelechi Ogueji, Akintunde Oladipo, Soham Parikh, Oluwanifemi Bamgbose, Toby Liang, Ahmed Masry, Khyati Mahajan, Sai Rajeswar Mudumba, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sagar Davasam, Srinivas Sunkara, Nicolas Chapados:
Apriel-1.5-15b-Thinker. - Harry Dong, David Brandfonbrener, Eryk Helenowski, Yun He, Mrinal Kumar, Han Fang, Yuejie Chi, Karthik Abinav Sankararaman:
Generalized Parallel Scaling with Interdependent Generations. - Haejoon Lee, Dimitra Panagou:
Partial Resilient Leader-Follower Consensus in Time-Varying Graphs. - Sukairaj Hafiz Imam, Tadesse Destaw Belay, Kedir Yassin Hussen, Ibrahim Said Ahmad, Idris Abdulmumin, Hadiza Ali Umar, Muhammad Yahuza Bello, Joyce Nakatumba-Nabende, Seid Muhie Yimam, Shamsuddeen Hassan Muhammad:
Automatic Speech Recognition (ASR) for African Low-Resource Languages: A Systematic Literature Review. - David Anugraha, Shou-Yi Hung, Zilu Tang, En-Shiun Annie Lee, Derry Tanti Wijaya, Genta Indra Winata:
mR3: Multilingual Rubric-Agnostic Reward Reasoning Models. - Jixian Liu, Enrique Mallada:
Safety-Critical Control via Recurrent Tracking Functions. - Paul Teiletche, Quentin Macé, Max Conti, António Loison, Gautier Viaud, Pierre Colombo, Manuel Faysse:
ModernVBERT: Towards Smaller Visual Document Retrievers. - Mustafa Omer Gul, Claire Cardie, Tanya Goyal:
Pay-Per-Search Models are Abstention Models. - Yesom Park, Shu Liu, Mo Zhou, Stanley J. Osher:
Neural Hamilton-Jacobi Characteristic Flows for Optimal Transport. - Alexandrine Fortier, Thomas Thebaud, Jesús Villalba, Najim Dehak, Patrick Cardinal:
Backdoor Attacks Against Speech Language Models. - Oskar Kviman, Kirill Tamogashev, Nicola Branchini, Víctor Elvira, Jens Lagergren, Nikolay Malkin:
Multi-Marginal Flow Matching with Adversarially Learnt Interpolants. - Haizhong Zheng, Jiawei Zhao, Beidi Chen:
Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs? - Waïss Azizian, Ali Hasan:
How Does the Pretraining Distribution Shape In-Context Learning? Task Selection, Generalization, and Robustness. - Zhengliang Shi, Ruotian Ma, Jen-tse Huang, Xinbei Ma, Xingyu Chen, Mengru Wang, Qu Yang, Yue Wang, Fanghua Ye, Ziyang Chen, Shanyi Wang, Cixing Li, Wenxuan Wang, Zhaopeng Tu, Xiaolong Li, Zhaochun Ren, Linus:
Social Welfare Function Leaderboard: When LLM Agents Allocate Social Welfare. - Oussama Gabouj, Kamel Charaf, Ivan Zakazov, Nicolas Mario Baldwin, Robert West:
GRAD: Generative Retrieval-Aligned Demonstration Sampler for Efficient Few-Shot Reasoning. - Yiran Shen, Yu Xia, Jonathan Chang, Prithviraj Ammanabrolu:
Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards. - Joze M. Rozanec, Tina Zezlin, Laurentiu Vasiliu, Dunja Mladenic, Radu Prodan, Dumitru Roman:
Fiaingen: A financial time series generative method matching real-world data quality. - Jiayi Zhang, Simon Yu, Derek Chong, Anthony Sicilia, Michael R. Tomz, Christopher D. Manning, Weiyan Shi:
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity. - Qingyuan Liu, Jia-Chen Gu, Yunzhi Yao, Hong Wang, Nanyun Peng:
Energy-Regularized Sequential Model Editing on Hyperspheres. - Zhengyuan Jiang, Yuyang Zhang, Moyang Guo, Neil Zhenqiang Gong:
EditTrack: Detecting and Attributing AI-assisted Image Editing. - Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou:
Code2Video: A Code-centric Paradigm for Educational Video Generation. - Yudong Wei, Liang Zhang, Bingcong Li, Niao He:
On the Benefits of Weight Normalization for Overparameterized Matrix Sensing. - Jiye Lee, Chenghui Li, Linh Tran, Shih-En Wei, Jason M. Saragih, Alexander Richard, Hanbyul Joo, Shaojie Bai:
Audio Driven Real-Time Facial Animation for Social Telepresence. - Gaoxiang Luo, Aryan Deshwal:
COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier. - Zhangchen Xu, Adriana Meza Soria, Shawn Tan, Anurag Roy, Ashish Sunil Agrawal, Radha Poovendran, Rameswar Panda:
TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments. - Jian Hu, Mingjie Liu, Ximing Lu, Fang Wu, Zaïd Harchaoui, Shizhe Diao, Yejin Choi, Pavlo Molchanov, June Yang, Jan Kautz, Yi Dong:
BroRL: Scaling Reinforcement Learning via Broadened Exploration. - Shuqing Li, Chenran Zhang, Binchang Li, Cuiyun Gao, Michael R. Lyu:
When Shared Worlds Break: Demystifying Defects in Multi-User Extended Reality Software Systems. - Jiahao Wang, Luoxin Ye, Taiming Lu, Junfei Xiao, Jiahan Zhang, Yuxiang Guo, Xijun Liu, Rama Chellappa, Cheng Peng, Alan L. Yuille, Jieneng Chen:
EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory. - Yanbo Xu, Yu Wu, Sungjae Park, Zhizhuo Zhou, Shubham Tulsiani:
Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models. - Leyla Mirvakhabova, Babak Ehteshami Bejnordi, Gaurav Kumar, Hanxue Liang, Wanru Zhao, Paul N. Whatmough:
Dirichlet-Prior Shaping: Guiding Expert Specialization in Upcycled MoEs. - Fei Shen, Weihao Xu, Rui Yan, Dong Zhang, Xiangbo Shu, Jinhui Tang:
IMAGEdit: Let Any Subject Transform. - Christina Zhang:
Manim for STEM Education: Visualizing Complex Problems Through Animation. - Xinhui Ye, Joep W. Frens, Jun Hu:
Beyond Divergence: Characterizing Co-exploration Patterns in Collaborative Design Processes. - Gianluca De Ninno, Paola Inverardi, Francesca Belotti:
An Anthropologist LLM to Elicit Users' Moral Preferences through Role-Play. - Paul-Otto Müller, Sven Suppelt, Mario Kupnik, Oskar von Stryk:
An Optical Measurement System for Open-Source Tracking of Jaw Motions. - Isabel Pedersen, Andrea Slane:
Better Than "Better Than Nothing": Design Strategies for Enculturated Empathetic AI Robot Companions for Older Adults. - Vasileios Maltezos, Roman Kyrychenko, Aleksi Knuutila:
How can AI agents support journalists' work? An experiment with designing an LLM-driven intelligent reporting system. - Ricardo J. Barrientos, Michaelle Pérez, Douglas González, Favio Reyna, Julio Fajardo, Andrea Lara:
Development and Evaluation of an AI-Driven Telemedicine System for Prenatal Healthcare. - Aadarsh Rajiv Patel, Klaus Mueller:
LegiScout: A Visual Tool for Understanding Complex Legislation. - Ivo Silva, Pedro F. Nogueira, Guilherme G. Bonaldo:
Location Matters: Leveraging Multi-Resolution Geo-Embeddings for Housing Search. - Gadir Suleymanli, Alexander Rogiers, Lucas Lageweg, Jefrey Lijffijt:
Are LLMs ready to help non-expert users to make charts of official statistics data? - Matan Mandelbrod, Biwei Jiang, Giald Wagner, Tal Franji, Guy Feigenblat:
Optimal signals assignment for eBay View Item page. - Hung Le, Sherif Abbas, Minh Hoang Nguyen, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen:
Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting. - Preston Vander Vos:
Odontoceti: Ultra-Fast DAG Consensus with Two Round Commitment. - Sergey Troshin, Wafaa Mohammed, Yan Meng, Christof Monz, Antske Fokkens, Vlad Niculae:
Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs. - Leroy Z. Wang:
Uncovering Implicit Bias in Large Language Models with Concept Learning Dataset. - Bonaventure F. P. Dossou, Henri Aïdasso:
Towards Open-Ended Discovery for Low-Resource NLP. - Bertrand Kian Hassani, Yacoub Bahini, Rizwan Mushtaq:
Discourse vs emissions: Analysis of corporate narratives, symbolic practices, and mimicry through LLMs. - Hui Dou, Ning Xu, Yiwen Zhang, Kaibin Wang:
Jailbreaking LLMs via Semantically Relevant Nested Scenarios with Targeted Toxic Knowledge. - Tyler J. Poore, Christopher J. Pinard, Aleena Shabbir, Andrew Lagree, Andre Telfer, Kuan-Chuen Wu:
Context Matters: Comparison of commercial large language tools in veterinary medicine. - Andrei Lazarev, Dmitrii Sedov:
Utilizing Modern Large Language Models (LLM) for Financial Trend Analysis and Digest Creation. - Akshith Reddy Putta, Jacob Daniel Devasier, Chengkai Li:
ClaimCheck: Real-Time Fact-Checking with Small Language Models. - Nicole N. Khatibi, Daniil A. Radamovich, Michael P. Brenner:
EEFSUVA: A New Mathematical Olympiad Benchmark. - Siqi Zeng:
Who is In Charge? Dissecting Role Conflicts in Instruction Following. - Dimitar Peshevski, Kiril Blazhevski, Martin Popovski, Gjorgji Madjarov:
Enhancing Transformer-Based Rerankers with Synthetic Data and LLM-Based Supervision. - Wen G. Gong:
Geometric Structures and Patterns of Meaning: A PHATE Manifold Analysis of Chinese Character Embeddings. - Shuaidong Pan, Di Wu:
Trustworthy Summarization via Uncertainty Quantification and Risk Awareness in Large Language Models. - Dongjun Kim, Gyuho Shim, Yongchan Chun, Minhyuk Kim, Chanjun Park, Heuiseok Lim:
Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks. - Boddu Sri Pavan, Boddu Swathi Sree:
Computational Social Linguistics for Telugu Cultural Preservation: Novel Algorithms for Chandassu Metrical Pattern Recognition. - Shubham Agrawal, Prasang Gupta:
LLMRank: Understanding LLM Strengths for Model Routing. - Subham Ghosh, Abhishek Tewari:
Automated Extraction of Material Properties using LLM-based AI Agents. - Ismam Nur Swapnil, Aranya Saha, Tanvir Ahmed Khan, Mohammad Ariful Haque:
GRPO++: Enhancing Dermatological Reasoning under Low Resource Settings. - Nandakishor M:
Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation. - Rom Himelstein, Amit Levi, Yonatan Belinkov, Avi Mendelson:
Silent Tokens, Loud Effects: Padding in LLMs. - Juntae Lee, Jihwan Bang, Seunghan Yang, Simyung Chang:
CIFLEX: Contextual Instruction Flow for Sub-task Execution in Multi-Turn Interactions with a Single On-Device LLM. - Zukang Xu, Xing Hu, Qiang Wu, Dawei Yang:
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models. - Hu Wei, Ze Xu, Boyu Yang, Linlin Miao, Weiqi Zhai, Yihan Li, Zixuan Li, Zhijun Wang, Boya Wang, Jianwei Yu, Jialing Yuan, Xiaoyue Zhang, Cheng He, Minglei Chen, Zifan Zhang, Qianhui Li, Wei Wang, Xiang Xu:
SKYLENAGE Technical Report: Mathematical Reasoning and Contest-Innovation Benchmarks for Multi-Level Math Evaluation. - Seyma Yaman Kayadibi:
Redundancy-as-Masking: Formalizing the Artificial Age Score (AAS) to Model Memory Aging in Generative AI. - Yisong Xiao, Aishan Liu, Siyuan Liang, Zonghao Ying, Xianglong Liu, Dacheng Tao:
Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing. - Hyeoneui Kim, Jeongha Kim, Huijing Xu, Jinsun Jung, Sunghoon Kang, Sun Joo Jang:
Feasibility of Structuring Stress Documentation Using an Ontology-Guided Large Language Model. - Runfei Chen, Shuyang Jiang, Wei Huang:
SeMob: Semantic Synthesis for Dynamic Urban Mobility Prediction. - Jiaqing Xie:
A Comparative Analysis of Sparse Autoencoder and Activation Difference in Language Model Steering. - Punit Kumar Singh, Nishant Kumar, Akash Ghosh, Kunal Pasad, Khushi Soni, Manisha Jaishwal, Sriparna Saha, Syukron Abu Ishaq Alfarozi, Asres Temam Abagissa, Kitsuchart Pasupa, Haiqin Yang, José G. Moreno:
Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports. - Ruyue Liu, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Yong Liu, Jinwen Zhong, Can Ma, Weiping Wang:
SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs. - You-Le Fang, Dong-Shan Jian, Xiang Li, Ce Meng, Ling-Shi Meng, Chen-Xu Yan, Zhi-Zhang Bian, Yan-Qing Ma:
LOCA: Logical Chain Augmentation for Scientific Corpus Cleaning. - Trung Duc Anh Dang, Ferdinando Pio D'Elia:
GemDetox at TextDetox CLEF 2025: Enhancing a Massively Multilingual Model for Text Detoxification on Low-resource Languages.