Yike Wang

Hiii, welcome to my homepage 👋ðŸŧ

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  /  Twitter  /  Google Scholar  /  GitHub

Research

ðŸŊ 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

🚁 Scaling Participation in Modular AI Systems

Shangbin Feng, Yike Wang, Weijia Shi, Luke Zettlemoyer, Yejin Choi, Yulia Tsvetkov
preprint
paper

📈 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

🔄 Small Reward Models via Backward Inference

Yike Wang, Faeze Brahman, Shangbin Feng, Teng Xiao, Hannaneh Hajishirzi, Yulia Tsvetkov
EMNLP 2026
paper, code

ðŸŠŋ 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

🛠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

💊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

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, Outstanding Paper Award 🏆 & Area Chair Award (QA track) 🏆
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 & code

🎧 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

Teaching

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

Discussion Slides and Notes


Source