Ximing Lu is a research staff of Large Language Model (LLM) Research at NVIDIA and a Ph.D. candidate at the University of Washington, advised by Professor Yejin Choi. She previously earned her B.S. degree in Computer Science at University of Washington. Her research interest centers around data synthesis, model architecture, science of LLMs, commonsense reasoning, knowledge acquisition, and multimodality. She is a co-recipient of the Best Paper Award at NAACL 2022 and the Outstanding Paper Award at EMNLP 2023.
