Fengzhe Zhou

According to our database, Fengzhe Zhou authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

OpenCompass: A Universal Evaluation Platform for Large Language Models.

Maosong Cao, Kai Chen, Haodong Duan, Yixiao Fang, Zhiwei Fei, Tong Gao, Ge Jiaye, Mo Li, Hongwei Liu, Junnan Liu, Yuan Liu, Chengqi Lyu, Han Lyu, Ningsheng Ma, Zerun Ma, Yu Sun, Zhiyong Wu, Linchen Xiao, Jun Xu, Haochen Ye, Zhaohui Yu, Yike Yuan, Songyang Zhang, Yufeng Zhao, Fengzhe Zhou, Peiheng Zhou, Dongsheng Zhu, Lin Zhu, Jingming Zhuo

CoRR, May, 2026

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits.

Edward Lin, Sahil Modi, Siva Kumar Sastry Hari, Qijing Huang, Zhifan Ye, Nestor Qin, Fengzhe Zhou, Yuan Zhang, Jingquan Wang, Sana Damani, Dheeraj Peri, Ouye Xie, Aditya Kane, Moshe Maor, Michael Behar, Triston Cao, Rishabh Mehta, Vartika Singh, Vikram Sharma Mailthody, Terry Chen, Zihao Ye, Hanfeng Chen, Tianqi Chen, Vinod Grover, Wei Chen, Wei Liu, Eric Chung, Luis Ceze, Roger A. Bringmann, Cyril Zeller, Michael Lightstone, Christos Kozyrakis, Humphrey Shi

CoRR, March, 2026

Le-DETR: Revisiting Real-Time Detection Transformer with Efficient Encoder Design.

Jiannan Huang, Aditya Kane, Fengzhe Zhou, Yunchao Wei, Humphrey Shi

CoRR, February, 2026

VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents.

Bing Xu, Terry Chen, Fengzhe Zhou, Tianqi Chen, Yangqing Jia, Vinod Grover, Haicheng Wu, Wei Liu, Craig Wittenbrink, Wen-Mei Hwu, Roger A. Bringmann, Ming-Yu Liu, Luis Ceze, Michael Lightstone, Humphrey Shi

CoRR, January, 2026

2025

PAI-Bench: A Comprehensive Benchmark For Physical AI.

Fengzhe Zhou, Jiannan Huang, Jialuo Li, Deva Ramanan, Humphrey Shi

CoRR, December, 2025

Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light.

Ali Hassani, Fengzhe Zhou, Aditya Kane, Jiannan Huang, Chieh-Yun Chen, Min Shi, Steven Walton, Markus Hoehnerbach, Vijay Thakkar, Michael Isaev, Qinsheng Zhang, Bing Xu, Haicheng Wu, Wen-Mei Hwu, Ming-Yu Liu, Humphrey Shi

CoRR, April, 2025

HyPiDecoder: Hybrid Pixel Decoder for Efficient Segmentation and Detection.

Fengzhe Zhou, Humphrey Shi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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, Dahua Lin, Kai Chen

CoRR, 2024

InternLM-Law: An Open Source Chinese Legal Large Language Model.

Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, Dawei Zhu, Xiao Wang, Maosong Cao, Fengzhe Zhou, Yining Li, Wenwei Zhang, Dahua Lin, Kai Chen, Jidong Ge

CoRR, 2024

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning.

Huaiyuan Ying, Shuo Zhang, Linyang Li, Zhejian Zhou, Yunfan Shao, Zhaoye Fei, Yichuan Ma, Jiawei Hong, Kuikun Liu, Ziyi Wang, Yudong Wang, Zijian Wu, Shuaibin Li, Fengzhe Zhou, Hongwei Liu, Songyang Zhang, Wenwei Zhang, Hang Yan, Xipeng Qiu, Jiayu Wang, Kai Chen, Dahua Lin

CoRR, 2024

LawBench: Benchmarking Legal Knowledge of Large Language Models.

Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen, Jidong Ge, Vincent Ng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

LawBench: Benchmarking Legal Knowledge of Large Language Models.

Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Songyang Zhang, Kai Chen, Zongwen Shen, Jidong Ge

CoRR, 2023