PhD student, Georgia Institute of Technology
2 papers at NeurIPS 2025
M-Pilot uses a small, controllable language model to guide a large, complex language model through complex tasks, improving its reasoning, planning, and personalization capability.
We introduce MLE-Dojo, a Gym-style framework for systematically reinforcement learning, evaluating, and improving autonomous large language model (LLM) agents in iterative machine learning engineering (MLE) workflows.
