Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction. - Yu Hong; Jiahang Li; Jianchuan Feng; Chenghua Huang; Zhixu Li; Jianfeng Qu; Yanghua Xiao; Wei Wang 009 (AAAI, 2023)

GeoAgent: To Empower LLMs using Geospatial Tools for Address Standardization. - Chenghua Huang; Shisong Chen; Zhixu Li; Jianfeng Qu; Yanghua Xiao; Jiaxin Liu; Zhigang Chen 003 (ACL (Findings), 2024)

CONSTRUCTURE: Benchmarking CONcept STRUCTUre REasoning for Multimodal Large Language Models. - Zhiwei Zha; Xiangru Zhu; Yuanyi Xu; Chenghua Huang; Jingping Liu; Zhixu Li; Xuwu Wang; Yanghua Xiao; Bei Yang; Xiaoxiao Xu (EMNLP (Findings), 2024)

Token-level Proximal Policy Optimization for Query Generation. - Yichen Ouyang; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Chenghua Huang; Jianfeng Liu; Bochen Pang; Yaming Yang 001; Yuefeng Zhan; Hao Sun 015; Qingwei Lin; Saravan Rajmohan; et al. (CoRR, 2024)

Self-Evolved Reward Learning for LLMS. - Chenghua Huang; Zhizhen Fan; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Zeqi Lin; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (ICLR, 2025)

Lean and Mean: Decoupled Value Policy Optimization with Global Value Guidance. - Chenghua Huang; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Zhixu Li; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones? - Yudi Zhang 007; Lu Wang 029; Meng Fang; Yali Du 001; Chenghua Huang; Jun Wang; Qingwei Lin; Mykola Pechenizkiy; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models. - Aohan Zeng; Xin Lv; Qinkai Zheng; Zhenyu Hou; Bin Chen; Chengxing Xie; Cunxiang Wang; Da Yin; Hao Zeng; Jiajie Zhang; Kedong Wang; Lucen Zhong; et al. (CoRR, 2025)