Researcher, Lawrence Livermore National Labs
2 papers at NeurIPS 2025
BOOM is a standardized benchmark for evaluating the out-of-distribution (OOD) performance of chemical machine learning models.
We improve the speed and performance of LLM post-training via a new asynchronous RL approach, leveraging an off-policy objective, replay buffer, and sampling strategies.
