Wenlin Yao is a Senior Applied Scientist at Amazon, where he focuses on developing Generative AI for shopping applications like Amazon Rufus. His expertise lies in improving Large Language Models, particularly in mitigating hallucinations and enhancing interpretability. He holds a PhD in Computer Science from Texas A&M University.
Outside of his primary research, Wenlin has an interest in mathematics, specifically Euclidean plane geometry, and practiced Chinese traditional calligraphy for many years during his youth. He also participated in the National Mathematical Olympiad in high school.
He received an Outstanding Paper Award at EMNLP 2023 for his work on interpretable sentence representation, placing his research in the top 0. 5% of submissions.
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