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Yike Wang
Hiii, welcome to my homepage ððŧ
I am a third-year Ph.D. student at the University of Washington, advised by Professor Hannaneh Hajishirzi and Professor Yulia Tsvetkov. I'm also a student researcher at AI2. Previously interned at Amazon.
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.
Email  / 
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GitHub
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ðŊ Rethinking the Evaluation of Harness Evolution for Agents
Yike Wang*, Huaisheng Zhu*, Zhengyu Hu, Yige Yuan, Zhengyu Chen, Shakti Senthil, Hannaneh Hajishirzi, Yulia Tsvetkov, Noah A. Smith, Pradeep Dasigi, Teng Xiao*
preprint
paper,
blog,
code
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ð Scaling Participation in Modular AI Systems
Shangbin Feng, Yike Wang, Weijia Shi, Luke Zettlemoyer, Yejin Choi, Yulia Tsvetkov
preprint
paper
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ð EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics
Shuyue Stella Li*, Rui Xin*, Teng Xiao, Yike Wang, Rulin Shao, Zoey Hao, Melanie Sclar, Sewoong Oh, Faeze Brahman, Pang Wei Koh, Yulia Tsvetkov
preprint
paper,
code
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ð Small Reward Models via Backward Inference
Yike Wang, Faeze Brahman, Shangbin Feng, Teng Xiao, Hannaneh Hajishirzi, Yulia Tsvetkov
EMNLP 2026
paper,
code
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ðŠŋ ScienceMeter: Tracking Scientific Knowledge Updates in Language Models
Yike Wang, Shangbin Feng, Yulia Tsvetkov, Hannaneh Hajishirzi
COLM 2026
ACL 2026 KnowFM Workshop, oral
paper,
data & code
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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
ACL 2026, oral
paper
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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
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 2024, Outstanding Paper Award ð & Area Chair Award (QA track) ð
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 & code
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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
PNAS Nexus 2025
paper,
code,
data
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