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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 am currently interested in building trustworthy LLMs. 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 |
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Publications |
ðŠðŧ Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm IntelligenceShangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfisterpreprint paper, code |
ðŠī Teaching LLMs to Abstain across Languages via Multilingual FeedbackShangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia TsvetkovEMNLP 2024 paper, code |
ðĨ Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM CollaborationShangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia TsvetkovACL 2024, Area Chair Award (QA track) ð & Outstanding Paper Award ð paper, code |
ð Resolving Knowledge Conflicts in Large Language ModelsYike Wang*, Shangbin Feng*, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia TsvetkovCOLM 2024 paper, data |
ð§ Engagement, User Satisfaction, and the Amplification of Divisive Content on Social MediaSmitha Milli, Micah Carroll, Yike Wang, Sashrika Pandey, Sebastian Zhao, Anca D. DraganPNAS Nexus paper, code, data |
TeachingUC Berkeley Data C100/200 Principles and Techniques of Data Science |