I am a Senior Research Scientist in Tencent AI Seattle Lab. My primary research interest lies in natural language processing and machine learning. My current focus include several key areas: information retrieval, retrieval-augmented generation, language model agent systems, and multi-modal learning. This specialization reflects my commitment to advancing the capabilities of AI in understanding and interacting with the world.

I earned my Ph.D. in Computer Science and Engineering from the University of Notre Dame in 2023, advised by Prof. Meng Jiang. My research during Ph.D was generously supported by Bloomberg Ph.D Fellowship. During my Ph.D, I mainly worked on using knowledge (i.e., text retrieval, knowledge graph and etc) to enhance factuality and reasoning capibility of (large) language models. Prior to my Ph.D, I received my Bachelor’s degree in Computer Science and Technology from Sichuan University in 2019.

I am actively seeking highly motivated interns who share my research interests. Kindly reach out to me at wyu1@nd.edu with your resume!

Check my latest post on Twitter!

What’s New!

• [2024.03] We are organizing the Third Workshop on Knowledge Augmented Methods for NLP (KnowledgeNLP) at ACL 2024 in Bangkok in August. We look forward to your contributions!
• [2024.03] One paper is accepted at NAACL 2024. Congratulations to Sihao!
• [2024.02] I served as Area Chair for ACL 2024 and COLING 2024.
• [2023.12] Our paper “IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions” [link] won the outstanding paper award at EMNLP 2023!
• [2023.09] Four papers are accepted at EMNLP 2023, on question answering, instruction tunning, math reasoning, and comparative reasoning.
• [2023.09] One paper is accepted at NeurIPS 2023.
• [2023.05] Three papers (two main and one findings) are accepted at ACL 2023.
• [2023.01] Two papers are accepted at ICLR 2023, on large language model for open-domain QA and multi-task pre-training.