Matthew Yang

Welcome, welcome! I am a Master's student in the Machine Learning Department at Carnegie Mellon University working with Prof. Aviral Kumar. I'm interested in LLMs / VLMs and Reinforcement Learning.

Previously, I studied Computer Science and Statistics at the University of Waterloo. I have been extremely lucky to have worked with Prof. Gautam Kamath, Florian Kerschbaum, Yaoliang Yu, Jimmy Lin.

You can reach me at m[lastname]4@cs.cmu.edu.

CV / Google Scholar / Github / LinkedIn

Research

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
Amrith Setlur*, Matthew Y. R. Yang*, Charlie Snell, Jeremy Greer, Ian Wu, Virginia Smith, Max Simchowitz, Aviral Kumar
Preprint
paper / code / website

Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
Yuxiao Qu*, Matthew Y. R. Yang*, Amrith Setlur, Lewis Tunstall, Edward Emanuel Beeching, Ruslan Salakhutdinov, Aviral Kumar
ICML 2025 / ICLR 2025 FM‑Wild Workshop (Oral)
paper / code / website

Disguised Copyright Infringement of Latent Diffusion Models
Yiwei Lu*, Matthew Y. R. Yang*, Zuoqiu Liu*, Gautam Kamath, Yaoliang Yu
ICML 2024 / ICML 2024 Generative AI and Law Workshop
paper / code

Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
Yiwei Lu, Matthew Y. R. Yang, Gautam Kamath, Yaoliang Yu
IEEE SaTML 2024
paper / code

“Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors
Zhiying Jiang, Matthew Yang, Mikhail Tsirlin, Raphael Tang, Yiqin Dai, Jimmy Lin
ACL 2023
paper / code

Integration of text and geospatial search for hydrographic datasets using the lucene search library
Matthew Y. R. Yang, Siwen Yang, Jimmy Lin
JCDL 2022
paper / code

Credits to Jon Barron for the website design.