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 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 Anca Dragan, Professor Joseph Gonzalez, and Professor Dan Klein. I also interned at ByteDance.

Email  /  Twitter  /  Google Scholar  /  GitHub

Publications

ðŸŠŋ ScienceMeter: Tracking Scientific Knowledge Updates in Language Models

Yike Wang, Shangbin Feng, Yulia Tsvetkov, Hannaneh Hajishirzi
preprint
paper, data & code

🍒 Data Swarms: Optimizable Generation of Synthetic Evaluation Data

Shangbin Feng, Yike Wang, Weijia Shi, Yulia Tsvetkov
preprint
paper

â›ēïļ Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems

Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister
preprint
paper

🛠ïļ When One LLM Drools, Multi-LLM Collaboration Rules

Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov
preprint
paper

💊ðŸŧ Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister
ICML 2025
paper, code

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 2024, Area Chair Award (QA track) 🏆 & Outstanding Paper Award 🏆
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
PNAS Nexus
paper, code, data

Teaching

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

Discussion Slides and Notes


Source