Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning. - Helan Hu; Shuzheng Si; Haozhe Zhao; Shuang Zeng; Kaikai An; Zefan Cai; Baobao Chang (CoRR, 2023)

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. - Yuliang Liu; Xiangru Tang; Zefan Cai; Junjie Lu; Yichi Zhang; Yanjun Shao; Zexuan Deng; Helan Hu; Zengxian Yang; Kaikai An; Ruijun Huang; Shuzheng Si; et al. (CoRR, 2023)

Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning. - Shuzheng Si; Helan Hu; Haozhe Zhao; Shuang Zeng; Kaikai An; Zefan Cai; Baobao Chang (ACL (Findings), 2024)

PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought. - Junyi Yao; Yijiang Liu; Zhen Dong 003; Mingfei Guo; Helan Hu; Kurt Keutzer; Li Du; Daquan Zhou; Shanghang Zhang (CVPR, 2024)

Towards a Unified View of Preference Learning for Large Language Models: A Survey. - Bofei Gao; Feifan Song 001; Yibo Miao; Zefan Cai; Zhe Yang 013; Liang Chen 024; Helan Hu; Runxin Xu; Qingxiu Dong; Ce Zheng; Wen Xiao; Ge Zhang 009; et al. (CoRR, 2024)

Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints. - Kaikai An; Shuzheng Si; Helan Hu; Haozhe Zhao; Yuchi Wang; Qingyan Guo; Baobao Chang (CoRR, 2024)