Zhuohao Yu

27 papers A* 4Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
SteerRM: Debiasing Reward Models via Sparse Autoencoders.
CoRR
Mengyuan Sun, Zhuohao Yu, Weizheng Gu, Shikun Zhang, Wei Ye
2026 J jnl
What Do Agents Learn from Trajectory-SFT: Semantics or Interfaces?
CoRR
Weizheng Gu, Chengze li, Zhuohao Yu, Mengyuan Sun, Zhibang Yang, Wei Wang, Hongrui Jia, Shikun Zhang, Wei Ye
2025 A* conf
An Empirical Analysis of Uncertainty in Large Language Model Evaluations.
ICLR
Qiujie Xie, Qingqiu Li, Zhuohao Yu, Yuejie Zhang, Yue Zhang, Linyi Yang
2025 J jnl
An Empirical Analysis of Uncertainty in Large Language Model Evaluations.
CoRR
Qiujie Xie, Qingqiu Li, Zhuohao Yu, Yuejie Zhang, Yue Zhang, Linyi Yang
2025 J jnl
Benchmarking and Studying the LLM-based Code Review.
CoRR
Zhengran Zeng, Ruikai Shi, Keke Han, Yixin Li, Kaicheng Sun, Yidong Wang, Zhuohao Yu, Rui Xie, Wei Ye, Shikun Zhang
2025 A* conf
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation.
ICML
Zhuohao Yu, Weizheng Gu, Yidong Wang, Xingru Jiang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang
2025 J jnl
RewardAnything: Generalizable Principle-Following Reward Models.
CoRR
Zhuohao Yu, Jiali Zeng, Weizheng Gu, Yidong Wang, Jindong Wang, Fandong Meng, Jie Zhou, Yue Zhang, Shikun Zhang, Wei Ye
2025 J jnl
SAEMark: Multi-bit LLM Watermarking with Inference-Time Scaling.
CoRR
Zhuohao Yu, Xingru Jiang, Weizheng Gu, Yidong Wang, Shikun Zhang, Wei Ye
2025 J jnl
TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them.
CoRR
Yidong Wang, Yunze Song, Tingyuan Zhu, Xuanwang Zhang, Zhuohao Yu, Hao Chen, Chiyu Song, Qiufeng Wang, Cunxiang Wang, Zhen Wu, Xinyu Dai, Yue Zhang, Wei Ye, Shikun Zhang
2024 J jnl
CodeShell Technical Report.
CoRR
Rui Xie, Zhengran Zeng, Zhuohao Yu, Chang Gao, Shikun Zhang, Wei Ye
2024 J jnl
Exploring Vision-Language Models for Imbalanced Learning.
Int. J. Comput. Vis.
Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
2024 — conf
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.
EMNLP (System Demonstrations)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang
2024 J jnl
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.
CoRR
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang
2024 — conf
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
ACL (1)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
2024 J jnl
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
CoRR
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
2024 J jnl
Outcome-Refining Process Supervision for Code Generation.
CoRR
Zhuohao Yu, Weizheng Gu, Yidong Wang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang
2024 — conf
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness.
EMNLP (Findings)
Wenjin Yao, Yidong Wang, Zhuohao Yu, Rui Xie, Shikun Zhang, Wei Ye
2024 A* conf
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
ICLR
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
2024 A* conf
Supervised Knowledge Makes Large Language Models Better In-context Learners.
ICLR
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
2023 J jnl
Exploring Vision-Language Models for Imbalanced Learning.
CoRR
Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
2023 J jnl
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
CoRR
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
2023 J jnl
Supervised Knowledge Makes Large Language Models Better In-context Learners.
CoRR
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
2022 — conf
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models.
NAACL-HLT
Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Xin Zhao, Ji-Rong Wen
2022 J jnl
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models.
CoRR
Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Wayne Xin Zhao, Ji-Rong Wen
2022 — conf
TextBox 2.0: A Text Generation Library with Pre-trained Language Models.
EMNLP (Demos)
Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2022 J jnl
TextBox 2.0: A Text Generation Library with Pre-trained Language Models.
CoRR
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
2021 — conf
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation.
ACL (demo)
Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen