Yike Wang

Hiii, welcome to my homepage 👋ðŸŧ

I am a first-year Ph.D. student at the University of Washington, advised by Professor Hannaneh Hajishirzi and Professor Yulia Tsvetkov. I do research in natural language processing, particularly knowledge and factuality.

Before that, I received my B.A. in computer science and applied mathematics and M.S. in computer science at the UC Berkeley, where I was fortunate to be advised by Professor Dan Klein and Professor Anca Dragan. I also interned at ByteDance.

Email  /  Twitter  /  Google Scholar  /  GitHub

Publications

ðŸŠī Teaching LLMs to Abstain across Languages via Multilingual Feedback

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov
EMNLP, 2024
paper, code

ðŸĨ‚ Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov
ACL 🏆 Outstanding Paper Award & Area Chair Award, 2024
paper, code

🐑 Resolving Knowledge Conflicts in Large Language Models

Yike Wang*, Shangbin Feng*, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
COLM, 2024
paper, data

🎧 Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media

Smitha Milli, Micah Carroll, Yike Wang, Sashrika Pandey, Sebastian Zhao, Anca D. Dragan
Knight Institute Symposium, 2023
paper, code, data

Teaching

UC Berkeley Data C100/200 Principles and Techniques of Data Science

Discussion Slides and Notes


Source