Yuzhe Gu 顾宇喆

PhD Student

Large Model Center, Shanghai AI Laboratory
School of Electronic Information and Electrical Engineering,
Shanghai Jiao Tong University

Email: guyuzhe@pjlab.org.cn, guyuzhe1116@sjtu.edu.cn;
Google Scholar: Google Scholar Link; Github: Github Link

Biography

I am a PhD student at Shanghai Jiao Tong University, in the joint program at Shanghai AI Laboratory, advised by Wenwei Zhang and Kai Chen. Before that, I received the bachelor degree at Wuhan University in 2024.

My research interests lie primarily in the area of Large Language Model (LLM). I'm focusing on improving the reasoning and knowledge capabilities of LLMs. I also have experience about the reducing hallucination in LLMs, including the annotation, detection and mitigation of hallucinations.

Discussions and cooperations are welcomed!

News

[2025.07] We release Intern-S1, an advanced open-source scientific multimodal reasoning model.
[2025.07] Our paper OREAL is accepted by COLM 2025.
[2025.01] Our paper Mask-DPO is accepted by ICLR 2025.
[2024.12] We release InternThinker, a powerful reasoning model.
[2024.09] Our paper ANAH-v2 is accepted by NeurIPS 2024.
[2024.05] Our paper ANAH is accepted by ACL 2024.

Publications

* denotes equal contribution.

(Co-) First author Papers

	Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning Chengqi Lyu, Songyang Gao, Yuzhe Gu, Wenwei Zhang, Jianfei Gao, Kuikun Liu, Ziyi Wang, Shuaibin Li, Qian Zhao, Haian Huang, Weihan Cao, Jiangning Liu, Hongwei Liu, Junnan Liu, Songyang Zhang, Dahua Lin, Kai Chen The 2nd Conference on Language Modeling (COLM 2025) [Paper] [Code] [Project]
	Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen The Thirteenth International Conference on Learning Representations (ICLR 2025) [Paper] [Code]
	ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models Yuzhe Gu, Ziwei Ji, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024) [Paper] [Code] [Project]
	ANAH: Analytical Annotation of Hallucinations in Large Language Models Ziwei Ji, Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) [Paper] [Code] [Project]
	One more set: Mitigating conflict-based cache side-channel attacks by extending cache set Yuzhe Gu, Ming Tang, Quancheng Wang, Han Wang, Haili Ding Journal of Systems Architecture (JSA) [Paper]

Co-author Papers

	CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward Shudong Liu, Hongwei Liu, Junnan Liu, Linchen Xiao, Songyang Gao, Chengqi Lyu, Yuzhe Gu, Wenwei Zhang, Derek F. Wong, Songyang Zhang, Kai Chen The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) [Paper] [Project]
	Semi-off-Policy Reinforcement Learning for Vision-Language Slow-thinking Reasoning Junhao Shen, Haiteng Zhao, Yuzhe Gu, Songyang Gao, Kuikun Liu, Haian Huang, Jianfei Gao, Dahua Lin, Wenwei Zhang, Kai Chen preprint [Paper]
	The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner Zhouqi Hua, Wenwei Zhang, Chengqi Lyu, Yuzhe Gu, Songyang Gao, Kuikun Liu, Kai Chen preprint [Paper]
	BackCache: Mitigating contention-based cache timing attacks by hiding cache line evictions Quancheng Wang, Xige Zhang, Han Wang, Yuzhe Gu, Ming Tang preprint [Paper]
	Redeem myself: Purifying backdoors in deep learning models using self attention distillation Xueluan Gong, Yanjiao Chen, Wang Yang, Qian Wang, Yuzhe Gu, Huayang Huang, Chao Shen 44th IEEE Symposium on Security and Privacy (Oakland 2023) [Paper]

Projects

Intern-S1: an advanced open-source scientific multimodal reasoning model.
InternThinker: a powerful reasoning model.
Lagent: a lightweight open-source framework that allows users to efficiently build LLM-based agents
InternLM: state-of-the-art open-source LLMs varying from 7B to 123B.

Awards

Outstanding Undergraduate of Wuhan University, 2024
Lei Jun Excellence Scholarship of Wuhan University, 2024 (10w RMB)
First Prize Excellence Scholarship of Wuhan University, 2021, 2022, 2023

Academic Service

Reviewer for: ICML2025, NeurIPS2025, COLM2025.

	Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning Chengqi Lyu, Songyang Gao, Yuzhe Gu, Wenwei Zhang, Jianfei Gao, Kuikun Liu, Ziyi Wang, Shuaibin Li, Qian Zhao, Haian Huang, Weihan Cao, Jiangning Liu, Hongwei Liu, Junnan Liu, Songyang Zhang, Dahua Lin, Kai Chen The 2nd Conference on Language Modeling (COLM 2025) [Paper] [Code] [Project]
	Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen The Thirteenth International Conference on Learning Representations (ICLR 2025) [Paper] [Code]
	ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models Yuzhe Gu, Ziwei Ji, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024) [Paper] [Code] [Project]
	ANAH: Analytical Annotation of Hallucinations in Large Language Models Ziwei Ji, Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) [Paper] [Code] [Project]
	One more set: Mitigating conflict-based cache side-channel attacks by extending cache set Yuzhe Gu, Ming Tang, Quancheng Wang, Han Wang, Haili Ding Journal of Systems Architecture (JSA) [Paper]