Papers
I²B-LPO: Latent Policy Optimization via Iterative Information Bottleneck
Huilin Deng, Hongchen Luo, Yue Zhu et al.
Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment
Haozhong Wang, Zhuo Li, Yibo Yang et al.
From Off-Policy to On-Policy: Enhancing GUI Agents via Bi-level Expert-to-Policy Assimilation
Zezhou Wang, Ziyun Zhang, Xiaoyi Zhang et al.
Instant Personalized Large Language Model Adaptation via Hypernetwork
Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen et al.
When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning
Yang Xiang, Yixin Ji, Ruotao Xu et al.
Detoxification for LLM: From Dataset Itself
Wei Shao, Yihang Wang, Gao yu Zhu et al.
VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck
Feiran Zhang, Yixin Wu, Zhenghua Wang et al.
TED-TTS: Training-Free Intra-Utterance Emotion and Duration Control for Text-to-Speech Synthesis
Qifan Liang, Yuansen Liu, Ruixin Wei et al.
Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models
Yu-An Liu, Ruqing Zhang, Hongru Song et al.
SAIR-Comb : A Structure-Aware Iterative Refinement Framework for Combinatorics Autoformalization
Weijie Jiang, Gaolei He, Beibei Xiong et al.
Are they lovers or friends? Evaluating LLMs’ Social Reasoning in English and Korean Dialogues
Eunsu Kim, Junyeong Park, Juhyun Oh et al.
Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA
Justice Ou, Tinglin Huang, Yilun Zhao et al.
Gap-K%: Measuring Top-1 Prediction Gap for Detecting Pretraining Data
Minseo Kwak, Jaehyung Kim
Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection
Xuwei Tan, Yao Ma, Xueru Zhang
AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
Hong Ting Tsang, Jiaxin Bai, Haoyu Huang et al.
GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models
Zhaohan Zhang, Ziquan Liu, Ioannis Patras
MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring
Tengchao Yang, Sichen Guo, Mengzhao Jia et al.
Learning What to Ignore: Mitigating Negative Transfer in Medical Knowledge Fusion via Clinical Task-Adaptive Selection
Xinyan Deng, Shoubin Dong, Xiaorou Zheng
BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook
Hao Gu, Lujun Li, Hao Wang et al.
PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCR
Yao Yao, Manwen Liao, Weitian Zhang et al.
How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
Minsung Kim, Dong-Kyum Kim, Jea Kwon et al.
From Synthesis to Clinical Assistance: A Strategy-Aware Agent Framework for Autism Intervention based on Real Clinical Dataset
Junhong Lai, Shuzhong Lai, Yanhao Yu et al.
Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling
Jiaxuan Wang, Yulan Hu, Wenjin Yang et al.
Automated Creativity Evaluation of Language Models Across Open-Ended Tasks
Tan Min Sen, Zachary Choy Kit Chun, Syed Ali Redha Alsagoff et al.
PEAP: Proactive Embodied Action Sequence Planning with Joint Understanding of Vision and Audio Perception
Tianwei Lan, Jiaqi Wu, Zeming Liu et al.