LawBench: Benchmarking Legal Knowledge of Large Language Models. - Zhiwei Fei; Xiaoyu Shen 001; Dawei Zhu; Fengzhe Zhou; Zhuo Han; Songyang Zhang; Kai Chen 026; Zongwen Shen; Jidong Ge (CoRR, 2023)

MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark. - Hongwei Liu; Zilong Zheng; Yuxuan Qiao; Haodong Duan; Zhiwei Fei; Fengzhe Zhou; Wenwei Zhang; Songyang Zhang; Dahua Lin; Kai Chen 026 (ACL (Findings), 2024)

LawBench: Benchmarking Legal Knowledge of Large Language Models. - Zhiwei Fei; Xiaoyu Shen 001; Dawei Zhu; Fengzhe Zhou; Zhuo Han; Alan Huang; Songyang Zhang; Kai Chen 026; Zhixin Yin; Zongwen Shen; Jidong Ge; Vincent Ng 001 (EMNLP, 2024)

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning. - Huaiyuan Ying; Shuo Zhang 022; Linyang Li; Zhejian Zhou; Yunfan Shao; Zhaoye Fei; Yichuan Ma; Jiawei Hong; Kuikun Liu; Ziyi Wang 006; Yudong Wang 002; Zijian Wu 002; et al. (CoRR, 2024)

InternLM-Law: An Open Source Chinese Legal Large Language Model. - Zhiwei Fei; Songyang Zhang; Xiaoyu Shen 001; Dawei Zhu; Xiao Wang 042; Maosong Cao; Fengzhe Zhou; Yining Li; Wenwei Zhang; Dahua Lin; Kai Chen 026; Jidong Ge (CoRR, 2024)

CIBench: Evaluating Your LLMs with a Code Interpreter Plugin. - Songyang Zhang; Chuyu Zhang; Yingfan Hu; Haowen Shen; Kuikun Liu; Zerun Ma; Fengzhe Zhou; Wenwei Zhang; Xuming He 001; Dahua Lin; Kai Chen 026 (CoRR, 2024)

Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light. - Ali Hassani 001; Fengzhe Zhou; Aditya Kane; Jiannan Huang 002; Chieh-Yun Chen; Min Shi; Steven Walton 001; Markus Hoehnerbach; Vijay Thakkar; Michael Isaev; Qinsheng Zhang; Bing Xu; et al. (CoRR, 2025)