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Zhuohao Yu

M.S. Student
Peking University
zyu (at) stu.pku.edu.cn


About Me

Hello, I am Zhuohao Yu (于 倬浩), currently a second-year Master’s student at National Engineering Research Center for Software Engineering, Peking University, advised by Prof. Wei Ye and Prof. Shikun Zhang.

My research interest lies in natural language processing, with a focus on the evaluation, optimization and alignment of large language models.

Beyond academia, I have a strong background in competitive programming, where I won Gold medal in the ACM-ICPC regionals and Silver medal in the National Olympiad in Informatics (NOI).

Education

Publications

  1. FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models
    Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang
    Preprint
    PDF Code

  2. KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
    Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang.
    Annual Meeting of the Association for Computational Linguistics (ACL), 2024.
    PDF Code Main Conference

  3. PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
    Yidong Wang*, Zhuohao Yu* (*Equal Contribution),
    Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang.
    International Conference on Learning Representations (ICLR), 2024.
    PDF Code Poster

  4. Supervised Knowledge Makes Large Language Models Better In-context Learners
    Linyi Yang*, Shuibai Zhang*, Zhuohao Yu* (*Equal Contribution),
    Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang.
    International Conference on Learning Representations (ICLR), 2024.
    PDF Poster

  5. CodeShell Technical Report
    Rui Xie, Zhengran Zeng, Zhuohao Yu, Chang Gao, Shikun Zhang, Wei Ye.
    Preprint
    PDF Code

  6. Exploring Vision-Language Models for Imbalanced Learning
    Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang.
    International Journal of Computer Vision (IJCV), 2023.
    PDF Code

  7. TextBox 2.0: A Text Generation Library with Pre-trained Language Models
    Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Zican Dong, Xiaoxue Cheng, Yuhao Wang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen.
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
    PDF

  8. ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
    Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Wayne Xin Zhao, Ji-Rong Wen.
    The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022.
    PDF

  9. Textbox: A Unified, Modularized, and Extensible Framework for Text Generation
    Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen.
    Annual Meeting of the Association for Computational Linguistics (ACL), 2021
    PDF Code System Demonstration Track

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