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; Google Scholar; Github

Biography

I am a first-year 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

Publications

* denotes equal contribution.

(Co-) First author Papers

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

BackCache: Mitigating contention-based cache timing attacks by hiding cache line evictions
Quancheng Wang, Xige Zhang, Han Wang, Yuzhe Gu, Ming Tang
arXiv 2023, Under Review
[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

Awards