Kehua Feng

Kehua Feng

Zhejiang University

I am a second-year CS PhD student at Zhejiang University (浙江大学), supervised by Prof. Huajun Chen. Before that, I received my B.S. degree in the Turing Elite class at Xidian University (西电) in 2024, majoring in Artificial Intelligence. My research interests revolve around Large Language Models (LLMs), with a particular focus on LLM evaluation and reasoning.

During May 2023 to Sept 2023, I worked as a research intern at SJTU GAIR Lab under the guidance of Prof. Pengfei Liu, where I focused on various aspects of Large Language Models (LLMs), primarily on LLM post-training and hallucination evaluation.

🔥 News

  • 2025.05:  🎉🎉 One paper was accepted by ICLR 2026!
  • 2025.10:  🎉🎉 I was awarded the National Scholarship (国家奖学金) for PhD Students during the first year of my doctoral studies.
  • 2025.07:  🎉🎉 One co-authored paper (FacTool) was accepted by COLM 2025!
  • 2025.05:  🎉🎉 Three papers were accepted by ACL 2025!
  • 2025.02:  🎉🎉 One paper was accepted by ICLR 2025!

📝 Publications

(* indicates equal contribution)

Preprint

Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple Judges

Yuqi Tang, Kehua Feng, Yunfeng Wang, Zhiwen Chen, Chengfei Lv, Gang Yu, Qiang Zhang, Keyan Ding
Preprint, 2025 | PDF | Code

ERPO: Advancing Safety Alignment via Ex-Ante Reasoning Preference Optimization

Kehua Feng*, Keyan Ding*, Jing Yu, Menghan Li, Yuhao Wang, Tong Xu, Xinda Wang, Qiang Zhang, Huajun Chen
Preprint, 2025 | PDF

Conference

CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific Reasoning

Kehua Feng*, Keyan Ding*, Zhihui Zhu, Lei Liang, Qiang Zhang, Huajun Chen
ICLR, 2026 | PDF

FacTool: Factuality Detection in Generative AI--A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu
COLM 2025 | PDF | Code

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition

Kehua Feng*, Keyan Ding*, Hongzhi Tan, Kede Ma, Zhihua Wang, Shuangquan Guo, Yuzhou Cheng, Ge Sun, Guozhou Zheng, Qiang Zhang, Huajun Chen
ACL 2025, Main | PDF | Code

Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization

Yuhao Wang, Keyan Ding, Kehua Feng, Zeyuan Wang, Ming Qin, Xiaotong Li, Qiang Zhang, Huajun Chen
ACL 2025, Main | PDF | Code

Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning

Xiang Zhuang, Bin Wu, Jiyu Cui, Kehua Feng, Xiaotong Li, Huabin Xing, Keyan Ding, Qiang Zhang, Huajun Chen
ACL 2025, Main | PDF | Code

SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models

Kehua Feng*, Keyan Ding*, Jing Yu, Yiwen Qu, Zhiwen Chen, Gang Yu, Qiang Zhang, Huajun Chen
ICLR 2025 | PDF | Code

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Lodels

Kehua Feng*, Keyan Ding*, Weijie Wang*, Xiang Zhuang, Zeyuan Wang, Ming Qin, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen
NeurIPS Workshop, 2025 | PDF | Code | Page | HF Repo

Journal

SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models

Jing Yu, Yuqi Tang, Kehua Feng, Mingyang Rao, Lei Liang, Zhiqiang Zhang, Mengshu Sun, Wen Zhang, Qiang Zhang, Keyan Ding, Huajun Chen
Scientific Data, 2026 | PDF | Code | HF Repo

Scientific Large Language Models: A Survey on Biological & Chemical Domains

Qiang Zhang, Keyan Ding, Tianwen Lv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Kehua Feng, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen
ACM Computing Surveys, 57 (6), 2025 | PDF | Code

🎖 Honors and Awards

  • National Scholarship for PhD Students (国家奖学金, top 5%), 2025.10,
  • Song Qingling Future Scholarship (宋庆龄未来奖学金), 2023.12,
  • Finalist Winner (1st Prize, top 1.5%), The International Mathematical Contest in Modeling (MCM/ICM), 2023.05,
  • 1st price, The China Undergraduate Mathematical Contest in Modeling (CUMCM) in Shaanxi Province, 2022.12,
  • 1st price, The Chinese Mathematics Competitions (CMC) in Shaanxi Province, 2021.12,

📖 Educations

  • 2024.09 - now,     Ph.D., Computer science and technology, Zhejiang University.
  • 2020.09 - 2024.06, B.S., Turing Elite Class, Artificial Intelligence, Xidian University.

💻 Internships

  • 2024.04 - 2025.03, Alibaba Taobao and Tmall Group, Hangzhou, China.