Papers
EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment
Yixuan Nan, Xixun Lin, Yanmin Shang et al.
Do LLMs Encode Functional Importance of Reasoning Tokens ?
Janvijay Singh, Dilek Hakkani-Tür
HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment
Zhanyu Liu, Qingguo Hu, Ante Wang et al.
Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications
Xiaoyue Lu, Xianglin Yang, Haijun Liu et al.
CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning
Eric Onyame, Akash Ghosh, Subhadip Baidya et al.
Language Models Learn Universal Representations of Numbers and Here’s Why You Should Care
Michal Štefánik, Timothee Mickus, Marek Kadlčík et al.
ArgGenBench: Benchmarking the Complex Controlled Argument Generation Capability of Large Language Models
Bojun Jin, Jianzhu Bao, Yang Sun et al.
Expect the Unexpected? Testing the Surprisal of Salient Entities
Jessica Lin, Amir Zeldes
Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks
Jin Zhao, Marta Knežević, Tanja Käser
CPR-RAG: Clinical Prior-Regularized Retrieval for Anatomy-Aware 3D CT Report Generation
Sungkyu Yang, Kang-Min Kim, Mansu Kim
To Judge or Not to Judge: Can Large Language Models Leverage the Dispute Focus in Legal Judgment?
Luoming Hu, Liang Yang, Jingjie Zeng et al.
Beyond the Panorama: Training-Free Hierarchical Perception-Reasoning for Fine-Grained Vision in MLLMs
Xiaoyang Yi, Jing Chen, Li Peng et al.
Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks
Miaomiao Li, Hao Chen, Yang Wang et al.
Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection
Junjun Pan, Yixin Liu, Rui Miao et al.
Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
Yuhang Wu, Xiangqing Shen, Fanfan Wang et al.
Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline
Jingchun Lian, Lingyu Liu, Yaxiong Wang et al.
Evidence-Augmented Policy Optimization with Reward Co-Evolution for Long-Context Reasoning
Xin Guan, Zijian Li, Shen Huang et al.
MavenCoder: Competitive Code Generation via Model Adaptive Planning Strategies and Multi-Perspective Verification Enhancement
ZhenChun Xu, Yi Cai, Dajun Zheng et al.
Understanding Emergent Misalignment via Feature Superposition Geometry
Gouki Minegishi, Hiroki Furuta, Takeshi Kojima et al.
Segment, Embed, and Align: A Universal Recipe for Aligning Subtitles to Signing
Zifan Jiang, Youngjoon Jang, Liliane Momeni et al.
Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation
Yongshi Ye, Biao Fu, Chongxuan Huang et al.
End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning
Guanzhong Chen, Shaoxiong Yang, Chao Li et al.
Compressing LLM Knowledge into Graph Representations for Text-attributed Graphs Learning
Runhuai Chen, Dian Shen, Dandan Zhang et al.
Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation
Wentao Zhang, Yan Zhuang, ZhuHang Zheng et al.
Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph
Lirong Gao, Zewei Yu, Zhongrui Yin et al.