Huaibo Chen
About
I am Huaibo (陈淮博), a PhD candidate at MIT with Prof. Kamal Youcef-Toumi. I am also a visiting student / research intern at MIT-IBM Watson AI Lab, working closely with Dr. Zhang-Wei Hong and Dr. Prasanna Sattigeri. My current research focuses on large language models (LLMs), including online / continual learning and reinforcement learning for LLM agents.
Work Experience
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MIT-IBM Watson AI Lab Mar. 2026 – Present
Research Intern
Online learning for LLM agents (NeurIPS 2026 TTCL Worksohp)
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Futurewei Technologies Summer 2025
Research Intern
Benchmarking LLMs on ill-defined mathematical problems (COLM 2026)
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Apple Inc. Summer 2024
Machine Learning Engineer Intern
Anomaly detection for time-series data
Education
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Massachusetts Institute of Technology 2021 – 2027 (expected)
Joint Ph.D. in Statistics and Mechanical Engineering
Coursework6.S978 AI Engineering and Agents6.8610 Natural Language Processing6.7960 Deep Learning6.7920 Reinforcement Learning6.7700 Fundamentals of Probability18.6501 Fundamentals of Statistics6.252 Nonlinear Optimization6.7230 Semidefinite Programming6.255 Optimization Methods6.7330 Numerical Methods for PDEs2.122 Stochastic Systems2.25 Fluid Mechanics -
Tongji University, Shanghai, China 2016 – 2021
B.Eng. in Automotive Engineering
Nominated for the university's highest undergraduate honor (6 of 4,500+ students nominated; 3 ultimately selected)
Publication
Large Language Models
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Fast and Slow Online Learning for Agents
Huaibo Chen, Maohao Shen, Siru Ouyang, Dylan Zhang, Zexue He, Yingheng Wang, Yuxin Xiao, Xiaotong Zhang, Inkit Padhi, Subhajit Chaudhury, Gregory W. Wornell, Prasanna Sattigeri, Zhang-Wei Hong, Kamal Youcef-Toumi
NeurIPS 2026 TTCL Workshop / LCFM Workshop
Paper Blog -
Online Symbolic Distillation: Learning from Teacher Continuations at Student States
Haojin Wang*, Dylan Zhang*, Huaibo Chen, Suhao Yu, Yihang Sun, Zhanyang Jin, Jiaying Ye, Dianqi Li, Prasanna Sattigeri, Kamal Youcef-Toumi, Hao Peng
ArXiv
Paper -
Ill-Defined Math: Benchmarking LLM Reasoning Beyond Well-Defined Problems
Huaibo Chen*, Yixiao Lin*, Zihan Zhao*, Pengcheng Chen, Nuohao Liu, Yue Hu, Qian Xie, Qinbo Bai, Ning Yan, Masood S. Mortazavi, Kamal Youcef-Toumi
Conference on Language Modeling (COLM), 2026
Paper -
Deep-Reproducer: From Paper Understanding to Code Generation
Pengcheng Chen, Ning Yan, Zihan Zhao, Yixiao Lin, Huaibo Chen, Yue Hu, Qinbo Bai, Xiang Li, Masood S. Mortazavi
NeurIPS 2025 Workshop on Deep Learning for Code (DL4C), 2025
Paper
AI for Chemical Kinetics and Combustion (Before transition to LLM Research)
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Fast QoI-Oriented Bayesian Experimental Design with Unified Neural Response Surfaces for Kinetic Uncertainty Reduction
Huaibo Chen, Qiaofeng Li, Sili Deng
Energy & Fuels, 38(16), 15630–15641, 2024
Paper -
Using Shock Tube Species Time-Histories in Bayesian Parameter Estimation: Effective Independent-Data Number and Target Selection
Huaibo Chen, Weiqi Ji, Séan J. Cassady, Alison M. Ferris, Ronald K. Hanson, Sili Deng
Proceedings of the Combustion Institute, 39(4), 5299–5308, 2023
Paper -
Bayesian Chemical Reaction Neural Network for Autonomous Kinetic Uncertainty Quantification
Qiaofeng Li, Huaibo Chen, Benjamin C. Koenig, Sili Deng
Physical Chemistry Chemical Physics, 25, 3707–3717, 2023
Paper -
Two-Stage Autoignition and Combustion Mode Evolution in Boundary Layer Flows above a Cold Flat Plate
Huaibo Chen, Mingyuan Tao, Qi Yang, Haiwen Ge, Peng Zhao
Proceedings of the Combustion Institute, 38(1), 767–776, 2021
Paper