About me
- I have been an Applied Scientist II at Amazon since May 2024. Before joining Amazon, I obtained my CS PhD from Georgia Institute of Technology specializing in Machine Learning, with publications at ICLR, NeurIPS, ACL, EMNLP, and more, co-advised by Prof. Srijan Kumar and Prof. Mustaque Ahamad.
- My research interests include Large Language Models (LLMs), Natural Language Processing (NLP), Deep Learning, and Reinforcement Learning (RL). At Amazon, I work on LLM post-training — alignment, reasoning, evaluation, SFT, RL, and agentic long-horizon RL — and self-improving coding & ads agents.
- I also serve on the program committees (i.e., as a reviewer) of top AI/ML/LLM conferences, such as ICLR, IJCAI, KDD, and WWW. Besides, I am always available for academic collaborations from academia and industry. Please feel free to contact me if you have research ideas or industry collaborations. I am more than happy to discuss and collaborate with you.
- Contact: bhe46[at]gatech.edu / bing.he[at]cc.gatech.edu / LinkedIn Message
News
Adaptive Auto-Harness: Sustained Self-Improvement on Open-Ended Task Streams accepted as a poster at the NeurIPS 2026 Workshop on Continual Learning for Enterprise AI Agents (CLEA)! Thanks to our interns and collaborators!
Two papers on self-evolving LLM agents — Harness Updating Is Not Harness Benefit and Evo-Harness — accepted to the EMNLP 2026 main conference! Thanks to our interns and collaborators!
One paper, A Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning, accepted to ACL 2026, Main Findings! Thanks to our interns and collaborators!
Position paper Agentic Evolution is the Path to Evolving LLMs accepted as a poster at the First Workshop on Agent Skills, co-located with ACM CAIS 2026 (the ACM Conference on AI and Agentic Systems).
TRAJECT-Bench: A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use accepted to ICLR 2026! Thanks to our interns and collaborators!