Lichang Chen

I am an AI research scientist at Meta Superintelligence Lab, working in a joint exploration team between MSL and TBD labs. I study agents for automating AI researchers and self-imporvement RL, trying to find the path towards AGI. I did my PhD at the Computer Science Department, University of Maryland, College Park. I obtained my bachelor's degree from Zhejiang University. I can be reached at {bob}{my-last-name}@cs.umd.edu.

My name in Chinese: 陈力畅

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Research Interests

My research interests are in RL and agentic systems, especially in self-evolving coding agent and how we can automate the realistic workflows such as foundational model research, Machine Learning, and Data Analysis.

Working Experience

AI Research Scientist@Meta SuperIntelligence, 2025 - Present, Agents for automating AI researchers.

Internship Experience

Intern@Google Deepmind, Meta RL for reasoning & Thinking to Learn.
Intern@Google Deepmind, The evaluation/alignment of Omni-Modality Language Models.
Intern@Google Research & Cloud AI Research The self-improvement of multimodal LLMs.
Intern@NVIDIA ADLR team, Mitigate hackings in RLHF/More Robust Reward Models

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Selected Publications
Humanity's Last Exam performance chart for Muse Spark 1.0 Muse Spark 1.0
Main Contributor to the Contemplating mode
Meta Superintelligence Labs, 2026

Meta Internal Coding Bench chart for Muse Spark 1.1 Muse Spark 1.1
Main Contributor to the SWE agents
Meta Superintelligence Labs, 2026

PontTuset OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
Lichang Chen, Hexiang Hu, Pranav Shyam, Ming-Hsuan Yang, Boqing Gong, et al.
Work Done@Google Deepmind, ICLR 2025

PontTuset From Lists to Emojis: How Format Bias Affects Model Alignment
Lichang Chen*, Xuanchang Zhang*, Wei Xiong*, Tianyi Zhou, Heng Huang, Tong Zhang.
ACL, 2025

PontTuset RRM: Robust Reward Model Training Mitigates Reward Hacking
Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Tianhe Yu, Mohammad Saleh, et al.
Work Done@Google Deepmind, ICLR 2025

PontTuset ODIN: Disentangled Reward Mitigates Hacking in RLHF
Lichang Chen*, Chen Zhu*, Davit Soselio, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro
ICML, 2024.

PontTuset InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
Lichang Chen*, Jiuhai Chen*, Tom Goldstein, Heng Huang, Tianyi Zhou
ICML, 2024

PontTuset AlpaGasus: Training a Better Alpaca with Fewer Data
Lichang Chen*, Shiyang Li*, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
ICLR, 2024