Xilun Chen

RESEARCH SCIENTIST | SEATTLE, UNITED STATES

Xilun Chen is a Research Scientist at Meta AI. His research interests are in Natural Language Processing and Machine Learning. His work focuses on knowledge-intensive NLP tasks such as Information Retrieval and Question Answering, and more recently retrieval-augmented language models. He received his Ph.D. from Cornell University in 2019.

Xilun's Publications

June 20, 2023

NLP

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval

Minghan Li, Jack Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Scott Yih, Xilun Chen

June 20, 2023

July 07, 2022

NLP

CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training

Xilun Chen, Armen Aghajanyan, Barlas Oguz, Scott Yih, Sonal Gupta, Patrick Huber

July 07, 2022

May 06, 2022

Domain-matched Pre-training Tasks for Dense Retrieval

Barlas Oguz, Aleksandra Piktus, Anchit Gupta, Kushal Lakhotia, Patrick Lewis, Scott Yih, Sebastian Riedel, Sonal Gupta, Vladimir Karpukhin, Xilun Chen, Yashar Mehdad

May 06, 2022