Yike Wang
Hiii, welcome to my homepage ððŧ
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.
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GitHub
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Publications
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ðŠī 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
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ðĨ 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 ð Outstanding Paper Award & Area Chair Award, 2024
paper,
code
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ð 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
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ð§ 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
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