Bio
Bill Yuchen Lin is a Research Scientist at the Allen Institute for AI) and an
Affiliate Assistant Professor at the University of Washington. His research
centers on aligning large language models (LLMs), training AI agents,
reasoning, and multimodal LLMs, with a focus on post-training, evaluation,
reward modeling, and synthetic data generation. He also aims to deepen the
core understanding of language models and explore their limitations, with
experience in enhancing the safety, generalization, robustness, and efficiency
of LLMs. Lin has received several honors, including the Best Paper Award at
the LangRob Workshop at CoRL 2024, the Best Paper Award Runner-up at
The Web Conference 2020, the Best Paper Award at TrustNLP 2021, and
recognition as an AI Rising Star by Baidu Scholar. He serves as a Senior Area
Chair for the Association for Computational Linguistics (ACL) and an Area
Chair for the International Conference on Learning Representations (ICLR).
Lin earned his Ph.D. from the University of Southern California in 2022. He
completed his bachelor’s degree in the IEEE Honor Class at Shanghai Jiao
Tong University (2014–2018), where he received the Best Thesis Award.
Research Areas
Affiliations
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Research Scientist
Allen Institute for AI
Education
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Ph.D.
University of Southern California