Papers
Assessing the Belief Consistency of Large Language Models on the Logical Conversation Process
Tomoki Tsujimura, Matīss Rikters, Masaki Asada et al.
GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMs
Weidong Tang, Jierui Li, Yueling Hou et al.
KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks
Zhangqi Duan, Nigel Fernandez, Andrew Lan
Measuring Social Bias in Vision-Language Models with Face-Only Counterfactuals from Real Photos
Haodong Chen, Qiang Huang, Jiaqi Zhao et al.
Too Long, Do Re-weighting for Efficient LLM Reasoning Compression
Zhong-Zhi Li, Xiao Liang, Zihao Tang et al.
HiEdit: Lifelong Model Editing with Hierarchical Reinforcement Learning
Yangfan Wang, Tianyang Sun, Chen Tang et al.
Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats
Manyi Zhang, Ji-Fu Li, Zhongao Sun et al.
Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition
Yushuo Zheng, Huiyu Duan, Zicheng Zhang et al.
Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching
Bo Lv, Jingbo Sun, Jianwei Lv et al.
Global Adaptive Momentum Meets Local Personalized Perturbation: Efficient Federated LLM Fine-Tuning with Zeroth-Order Gradients
Zihan Chen, Howard Hao Yang, Tony Quek et al.
Decoding-Unlearning: Fact Forgetting via Entropy-Guided Inference
Jingwen Pu, Mingjun Shi, Xinrui Ren et al.
Language Statistics and False Belief Reasoning: Evidence from 41 Open-Weight LMs
Sean Trott, Samuel M. Taylor, Cameron Robert Jones et al.
Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System
Yifei Wei, Linqing Zhong, Yi Liu et al.
MedEinst: Benchmarking the Einstellung Effect in Medical LLMs through Counterfactual Differential Diagnosis
Wenting Chen, Guolin Huang, Wenxuan Wang et al.
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks
Sunil Kumar Maurya, Xin Liu
AttnPO: Attention-Guided Process Supervision for Efficient Reasoning
Shuaiyi Nie, Dingsiyu, Wenyuan Zhang et al.
LLM Safety From Within: Detecting Harmful Content with Internal Representations
Difan Jiao, Yilun Liu, Ye Yuan et al.
ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs
Xu Liu, Yan Chen, Kan Ling et al.
PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in Inference
Hao Zhang, Lyu Mengsi, Zhuo Chen et al.
Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning
Zhenguang Wang, Bo Li, Wenhui Tan et al.
KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality
Baochang Ren, Shuofei Qiao, Ningyu Zhang et al.
DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data
Shaofan Liu, Guoqiang Zhang, Shihan Dou et al.
Deep Supervised Contrastive Learning of Pitch Contours for Robust Pitch Accent Classification in Seoul Korean
Hyunjung Joo, GyeongTaek Lee
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
Seungeon Lee, Soumi Das, Manish Gupta et al.
Towards Trustworthy Smart Contract Synthesis: A Multi-Agent Framework with Lean-Based Verification
Bowei Zhang, Hanbing Liu, Qixin Tian et al.