Weixiang Yan in

Weixiang Yan

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Applied Scientist II at Amazon
📍 Palo Alto, California, United States

Weixiang Yan is an Applied Scientist at Amazons Generative Foundation Modeling team, specializing in hallucination mitigation, agentic reinforcement learning, and code reasoning. A graduate of UC Santa Barbara and a co-founder of Vaneval AI, he has a strong background in academic and corporate research, with internships at Microsoft and Alibaba.

His professional passion revolves around enhancing the reliability and reasoning of large language models. He actively publishes research, recently introducing a formal concept for "code hallucinations" and exploring methods for AI to mimic human-like abstract reasoning through what he terms "Soft Thinking, " indicating his interests are deeply integrated with his work.

He is a member of the BigCode team, an open-source initiative focused on developing advanced, intelligent coding tools.

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Experience
2 Years
Current Role
Applied Scientist II
Location
Palo Alto, California, United States
Personality Overview

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Priorities

Topics Weixiang cares about

LLM Hallucination
A primary focus of his current role at Amazon and the subject of his recent publications, where he has introduced frameworks for classifying and detecting code hallucinations.
AI Code Generation
A consistent theme throughout his research internships and publications, focusing on benchmarks for code understanding, generation, and translation across dozens of programming languages.
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Career

Work history

12-2024
Applied Scientist II
Amazon
11-2023 - 8-2024
Co-founder and CTO
Vaneval AI
7-2022 - 1-2023
Research Intern
Alibaba Group
6-2021 - 10-2021
Research Intern
Microsoft
11-2020 - 5-2021
Research Intern
Peking University
In the press

Media appearances

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Education
9-2023 - 12-2024
Master of Science - MS
UC Santa Barbara
9-2018 - 6-2022
Bachelor of Science - BS
Beijing University of Posts and Telecommunications
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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