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Zhuohao Yu
Observed name:
Yu, Zhuohao
Institutions:
Chinese Academy of Sciences,
Peking University,
Institute of Software,
University of Chinese Academy of Sciences,
Carnegie Mellon University
Observed institutions:
Chinese Academy of Sciences,
Peking University,
Institute of Software,
University of Chinese Academy of Sciences,
Carnegie Mellon University,
Renmin University of China
show all 6
ORCID:
0009-0000-8256-8588
Observed ORCIDs:
0009-0000-8256-8588,
0009-0006-0037-0396
OpenAlex ID:
A5010912592
ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification
2024
·
Fangwen Mu
, Lin Shi
, et al.
·
Proceedings of the ACM on software engineering.
·
74
Exploring Vision-Language Models for Imbalanced Learning
2023
·
Yidong Wang
, Zhuohao Yu
, et al.
·
International Journal of Computer Vision
·
38
PDF
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
2023
·
Wang, Yidong
, Yu, Zhuohao
, et al.
·
arXiv (Cornell University)
·
34
PDF
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
2021
·
Junyi Li
, Tianyi Tang
, et al.
·
25
PDF
ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification
2023
·
Mu, Fangwen
, Shi, Lin
, et al.
·
arXiv (Cornell University)
·
14
PDF
TextBox 2.0: A Text Generation Library with Pre-trained Language Models
2022
·
Tianyi Tang
, Junyi Li
, et al.
·
Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
·
8
PDF
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
2022
·
Junyi Li
, Tianyi Tang
, et al.
·
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
·
7
PDF
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
2024
·
Zhuohao Yu
, Chang Gao
, et al.
·
Annual Meeting of the Association for Computational Linguistics (ACL)
·
5
PDF
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models
2024
·
Zhuohao Yu
, Chang Gao
, et al.
·
Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
·
4
PDF
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
2021
·
Li, Junyi
, Tang, Tianyi
, et al.
·
arXiv (Cornell University)
·
4
PDF
TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them
2025
·
Wang, Yidong
, Song, Yunze
, et al.
·
arXiv (Cornell University)
·
3
PDF
CodeShell Technical Report
2024
·
Xie, Rui
, Zeng, Zhengran
, et al.
·
arXiv (Cornell University)
·
3
PDF
CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification
2024
·
Mu, Fangwen
, Wang, Junjie
, et al.
·
arXiv (Cornell University)
·
2
PDF
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness
2024
·
Wenjin Yao
, Yidong Wang
, et al.
·
2
PDF
Supervised Knowledge Makes Large Language Models Better In-context Learners
2023
·
Yang, Linyi
, Zhang, Shuibai
, et al.
·
arXiv (Cornell University)
·
2
PDF
RewardAnything: Generalizable Principle-Following Reward Models
2025
·
Yu, Zhuohao
, Zeng, Jiali
, et al.
·
arXiv (Cornell University)
·
1
PDF
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
2025
·
Xie, Qiujie
, Li, Qingqiu
, et al.
·
arXiv (Cornell University)
·
1
PDF
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation
2024
·
Yu, Zhuohao
, Gu, Weizheng
, et al.
·
arXiv (Cornell University)
·
1
PDF
SWR-Bench: Assessing LLM Performance in Real-World Code Review Comment Generation
2026
·
Zhengran Zeng
, Ruikai Shi
, et al.
·
Proceedings of the ACM on software engineering.
SLECS Data Release v1.0
2026
·
Shu, Chenlan
, Yu, Zhuohao
·
Zenodo (CERN European Organization for Nuclear Research)
Support Vector Rubrics: Closing the Gap Between Self-Generated and Human Rubrics
2026
·
Sun, Mengyuan
, Li, Yu
, et al.
·
arXiv (Cornell University)
PDF
From Curiosity to Caution: Mitigating Reward Hacking for Best-of-N with Pessimism
2026
·
Yu, Zhuohao
, Wu, Zhiwei Steven
, et al.
·
arXiv (Cornell University)
PDF
Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios
2026
·
Zhuohao Yu
, Zhe Liu
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
SteerRM: Debiasing Reward Models via Sparse Autoencoders
2026
·
Sun, Mengyuan
, Yu, Zhuohao
, et al.
·
arXiv (Cornell University)
PDF
Back to Blackwell: Closing the Loop on Intransitivity in Multi-Objective Preference Fine-Tuning
2026
·
Zhang, Jiahao
, Zhang, Lujing
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
35
Citation count:
230
H-index:
7
I10-index:
5
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