Yike Wang

Hiii, welcome to my homepage 👋🏻

I am a fifth-year MS student at UC Berkeley, working with Professor Dan Klein.

I received my B.A. in computer science and B.A. in applied mathematics from UC Berkeley, where I conducted research on Twitter's ranking algorithm with Professor Anca Dragan. I also interned at ByteDance.

Currently, I am also fortunate to work with Professor Yulia Tsvetkov at Tsvetshop at UW, focusing on knowledge conflicts.

👀 I'm actively seeking a Ph.D. opportunity starting from Fall 2024!

Email  /  Twitter  /  Google Scholar  /  GitHub


I'm interested in natural language processing and machine learning, especially SocialNLP and Trustworthy NLP.

clean-usnob Resolving Knowledge Conflicts in Large Language Models
Yike Wang*, Shangbin Feng*, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
arXiv preprint, 2023

We introduce KNOWLEDGE CONFLICT, an evaluation framework for simulating contextual knowledge conflicts and quantitatively evaluating LLMs' abilities to handle knowledge conflicts.

clean-usnob 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
Knight Institute Symposium: Optimizing for What?, 2023

We found that compared to a reverse-chronological baseline, Twitter's engagement-based ranking algorithm may amplify emotionally charged, out-group hostile content and contribute to affective polarization.

code and data


Data C100/200 Principles and Techniques of Data Science

Discussion Slides and Notes