Ph.D. Student
Computer Science Department
University of Virginia
Email: [email protected] or [email protected]
Now I’m working on:
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Hi!👋 I’m Xinyu (/ʃɪn.ju:/) Zhu, ****a first-year computer science Ph.D. student at the University of Virginia, advised by Prof. ****Yu Meng.
I am broadly interested in NLP and ML, especially in solving complex reasoning problems with LLMs, improving generation quality and reducing hallucination of LLMs. My long-term research goal is to enable human expert level reasoning, decision-making and cognitive intelligence for neural models and systems.
I received my master degree at Tsinghua University, advised by Prof. ****Yujiu Yang. I have been a research intern at Microsoft Research Asia and International Digital Economy Academy.
✨News
- [2025.04] I will move to Cupertino in May and start my internship at Apple AIML this summer, looking forward to meeting new friends in the Bay Area!
- [2025.03] One survey on the honesty of LLMs is accepted by TMLR! 🎉
- [2025.01] One paper on evaluating LMM's reasoning via chart-to-code generation ****is accepted by ICLR 2025! 🎉
- [2024.10] Check out our comprehensive survey on the honesty of LLMs! 🎉 Also checkout our accompanied github repo! PRs welcome!
- [2024.09] One paper on improving MoE models' reasoning via self-contrast has been accepted by NeurIPS 2024, congrats to all the co-authors🎉! See you in Vancouver!
- Old news
👨🎓Education
- University of Virginia 2024.08 -- Present
Ph.D. in Computer Science
- Tsinghua University 2021.09 -- 2024.06
Master in Electronic and Information Engineering
- Xidian University 2017.09 -- 2021.06
Bachelor in Electronic Science and Technology
📝Selected Publications (* indicates equal contribution)
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast
NeurIPS 2024
Chufan Shi, Cheng Yang*, Xinyu Zhu*, Jiahao Wang*, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng*
[paper][code]