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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