Papers
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.
Compositional Steering of Large Language Models with Steering Tokens
Gorjan Radevski, Kiril Gashteovski, Giwon Hong et al.
GASE: Graph-Aware Semantic Embedding Learning with Frozen LLMs for Text-Attributed Graphs
Mingqian Ding, Jianjun Li, Wenqi Yang et al.
Can AI-Generated Persuasion Be Detected? Persuaficial Benchmark and AI vs. Human Linguistic Differences
Arkadiusz Modzelewski, Paweł Golik, Anna Kołos et al.
ReCreate: Reasoning and Creating Domain Agents Driven by Experience
Zhezheng Hao, Hong Wang, Jian Luo et al.
MirrorCAPTCHA: Wild CAPTCHA, Wild Distribution, Wild Web-based Platform Meet Multimodal LLM Agents
Xiangyu Wu, Yuwei Hu, Tianyu Cui et al.
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
Tobias Schreieder, Tim Schopf, Michael Färber
An Experimental Study on the Influence of Culture on Cross-Lingual Sentiment Transfer
Ahao Liu, Haitong Yang, Wang Chuanrong
SpeechMedAssist: Efficiently and Effectively Adapting Speech Language Models for Medical Consultation
Sirry Chen, Jieyi Wang, Wei Chen et al.
UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions
Xiaoquan Yi, Haixing Wu, Haozhao Wang et al.
Evaluation Pitfalls and Challenges in Multimedia Event Extraction
Philipp Seeberger, Steffen Freisinger, Tobias Bocklet et al.
OSCBench: Benchmarking Object State Change in Text-to-Video Generation
Xianjing Han, Bin Zhu, Shiqi Hu et al.
The “Knowledge–Behavior Gap” in Cultural Taboo Safety of Large Language Models
Ying He, Sihang Jiang, Xingzhou Chen et al.
QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning
Songxin Qu, Tai-Ping Sun, Yun-Jie Wang et al.
Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training
Jihao Gu, Qihang Ai, Yingyao Wang et al.
Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models
Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai