Zhuohao Yu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Code Generation

Automatic Evaluation

Top Venues

Publications

Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Supervised Knowledge Makes Large Language Models Better In-context Learners. ICLR (2024)
Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR (2024)
Rui Xie, Zhengran Zeng, Zhuohao Yu, Chang Gao, Shikun Zhang, Wei Ye
CodeShell Technical Report. CoRR (2024)
Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, Chenxue Wang, Shichao Liu, Qing Wang
ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. CoRR (2024)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. ACL (1) (2024)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models. CoRR (2024)
Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
Exploring Vision-Language Models for Imbalanced Learning. Int. J. Comput. Vis. 132 (1) (2024)
Xinmei Huang, Haoyang Li, Jing Zhang, Xin Zhao, Zhiming Yao, Yiyan Li, Zhuohao Yu, Tieying Zhang, Hong Chen, Cuiping Li
LLMTune: Accelerate Database Knob Tuning with Large Language Models. CoRR (2024)
Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
Exploring Vision-Language Models for Imbalanced Learning. CoRR (2023)
Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR (2023)
Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, Chenxue Wang, Shichao Liu, Qing Wang
ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification. CoRR (2023)
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR (2023)
Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Wayne Xin Zhao, Ji-Rong Wen
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. CoRR (2022)
Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Xin Zhao, Ji-Rong Wen
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. NAACL-HLT (2022)
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
TextBox 2.0: A Text Generation Library with Pre-trained Language Models. CoRR (2022)
Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
TextBox 2.0: A Text Generation Library with Pre-trained Language Models. EMNLP (Demos) (2022)
Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. ACL (demo) (2021)