Papers
Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering
Wonjin Lee, Kyumin Kim, Sungjae Lee et al.
The Prosody of Emojis
Giulio Zhou, Tsz Kin Lam, Alexandra Birch et al.
SAFO: Stable Adaptive Fairness Optimization for LLM-Based Social Survey Simulation
Chenxi Lin, Zhuoren Jiang, Kaisong Song et al.
Frankentext: Stitching random text fragments into long-form narratives
Chau Minh Pham, Jenna Russell, Dzung Pham et al.
WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement
Fangyuan Li, Pengfei Li, Shijie Wang et al.
When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval
Tongyao Zhu, Huang Chao Ming, Min-Yen Kan
VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization
Dingyu Yao, Chenxu Yang, Zhengyang Tong et al.
ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments
Yuquan Wang, Mi Zhang, Yining Wang et al.
UniVocal: Unified Speech-Singing Code-Switching Synthesis
YuFei Shi, Qian Chen, Wen Wang et al.
Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts
Xianda Zheng, Zijian Huang, Meng-Fen Chiang et al.
MM-StanceDet: Retrieval-Augmented Multi-modal Multi-agent Stance Detection
Weihai Lu, Zhejun Zhao, Yanshu Li et al.
CITE: Benchmarking Heterogeneous Text-Attributed Graph Models
Chenghao Zhang, Qingqing Long, Ludi Wang et al.
CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models
Haibo Tong, Zeyang Yue, Feifei Zhao et al.
A Survey of Inductive Reasoning for Large Language Models
Kedi Chen, Dezhao Ruan, Yuhao Dan et al.
MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection
Bingbing Wang, Zhengda Jin, Bin Liang et al.
RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation
Sunzhu Li, Jiale Zhao, Huimin Ren et al.
Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
Zelin Tan, Hejia Geng, Xiaohang Yu et al.
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
Ziwen Xu, Kewei Xu, Haoming Xu et al.
TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems
Ishan Kavathekar, Hemang Jain, Ameya Rathod et al.
GiLT: Augmenting Transformer Language Models with Dependency Graphs
Tianyu Huang, Yida Zhao, Chuyan Zhou et al.
Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing
Wenhao Yuan, Chenchen Lin, Jian Chen et al.
RubricBench: Aligning Model-Generated Rubrics with Human Standards
Junyi Zhou, Qiyuan Zhang, Yufei Wang et al.
Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
Haolei Xu, Haiwen Hong, Hongxing Li et al.
SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents
Michelle Wastl, Jannis Vamvas, Rico Sennrich
Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
Zhezheng Hao, Hong Wang, Haoyang Liu et al.