Yike Wang
Hiii, welcome to my homepage ððŧ
I am a second-year Ph.D. student at the University of Washington, advised by Professor Hannaneh Hajishirzi and Professor Yulia Tsvetkov . I am currently interested in downscaling language models.
Before that, I received my B.A. in computer science and applied mathematics and M.S. in computer science at 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 .
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ðŽ Don't Throw Away Your Pretrained Model
Shangbin Feng, Wenhao Yu, Yike Wang , Hongming Zhang, Yulia Tsvetkov, Dong Yu
preprint
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code
ðŠŋ ScienceMeter: Tracking Scientific Knowledge Updates in Language Models
Yike Wang , Shangbin Feng, Yulia Tsvetkov, Hannaneh Hajishirzi
preprint
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data & code
ð Data Swarms: Optimizable Generation of Synthetic Evaluation Data
Shangbin Feng, Yike Wang , Weijia Shi, Yulia Tsvetkov
preprint
paper
âēïļ 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
NeurIPS 2025
paper
ð 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
ðŠðŧ 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
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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
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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 2024 , Area Chair Award (QA track) ð & Outstanding Paper Award ð
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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
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data & code
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
PNAS Nexus 2025
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