Ximing Lu

Ximing Lu is a research scientist on the Language and Cognition Research team at NVIDIA. She previously earned her bachelor’s degree in Computer Science at University of Washington. Her research interest centers around data synthesis, reinforcement learning, agentic system, model architecture, and multimodality. She is a co-recipient of the Best Paper Award at NAACL 2022 and the Outstanding Paper Award at EMNLP 2023.
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Posts by Ximing Lu

Generative AI Aug 13, 2025

Scaling LLM Reinforcement Learning with Prolonged Training Using ProRL v2

Currently, one of the most compelling questions in AI is whether large language models (LLMs) can continue to improve through sustained reinforcement learning... 8 MIN READ