Kehua Feng

According to our database, Kehua Feng authored at least 12 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

CoRR, August, 2025

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

CoRR, May, 2025

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

CoRR, April, 2025

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

Kehua Feng, Keyan Ding, Jing Yu, Yiwen Qu, Zhiwen Chen, Chengfei Lv, Gang Yu, Qiang Zhang, Huajun Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions.

Xiang Zhuang, Keyan Ding, Tianwen Lyu, Yinuo Jiang, Xiaotong Li, Zhuoyi Xiang, Zeyuan Wang, Ming Qin, Kehua Feng, Jike Wang, Qiang Zhang, Huajun Chen

CoRR, 2024

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models.

Kehua Feng, Keyan Ding, Weijie Wang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen

CoRR, 2024

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

Kehua Feng, Keyan Ding, Kede Ma, Zhihua Wang, Qiang Zhang, Huajun Chen

CoRR, 2024

Generating Multiple Choice Questions from Scientific Literature via Large Language Models.

Shunyang Luo, Yuqi Tang, Mingyuan Jiang, Kehua Feng, Qiang Zhang, Keyan Ding

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

2023

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

CoRR, 2023