Yuchen Lin is a Young Investigator at Allen Institute for AI (AI2), hosted by Prof. Yejin Choi (University of Washington). He received his PhD from University of Southern California in 2022, advised by Prof. Xiang Ren. Yuchen's primary interest lies in developing artificial intelligence agents capable of demonstrating a profound understanding of the world through common-sense knowledge and reasoning abilities. His research aims to teach machines how to think, talk, and act like humans. Moreover, Yuchen's work focuses on enhancing the robustness, safety, and generalization of large language models (LLMs) through retrieval augmentation, continual learning, federated learning, and ensemble learning techniques. Yuchen received Best Paper Award Runner-up at The Web Conference 2020, best paper award at TrustNLP 2021, and got selected as AI Rising Star by Baidu Scholar. He gave several tutorials at ACL and WSDM and co-organized workshops in ACL and AKBC. Also, Yuchen is an Area Chair for ACL 2023. Previously, he got his bachelor’s degree from the IEEE Honored Class at Shanghai Jiao Tong University(2014-2018) and won the Best Thesis Award, advised by Prof. Kenny Zhu. He was a research intern at Facebook AI Research (FAIR) (2021 with Scott Yih), Google AI (2020 with William Cohen, 2019 with Sandeep Tata), and Microsoft Research Asia (2017-2018).