Publications

Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay
Yifan Sun*, Jingyan Shen*, Yibin Wang*, Tianyu Chen, Zhendong Wang, Mingyuan Zhou, Huan Zhang
NeurIPS 2025
arxiv Code PDF Poster
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
Tunyu Zhang*, Haizhou Shi*, Yibin Wang, Hengyi Wang, Xiaoxiao He, Zhuowei Li, Haoxian Chen, Ligong Han, Kai Xu, Huan Zhang, Dimitris Metaxas, Hao Wang
ICLR 2026
arxiv PDF
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Haizhou Shi*, Yibin Wang*, Ligong Han, Dimitris Metaxas, Huan Zhang, Hao Wang
NeurIPS 2025
arxiv Code PDF Poster Slides
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang*, Haizhou Shi*, Ligong Han, Dimitris Metaxas, Hao Wang
NeurIPS 2024
arxiv NeurIPS Code PDF Poster Slides
Continual learning of large language models: A comprehensive survey
Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Zifeng Wang, Sayna Ebrahimi, Hao Wang
ACM Computing Surveys
Link PDF
Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions
Yibin Wang*, Yichen Yang*, Di He, Kun He
Findings of ACL 2023
ACL Anthology Code PDF