Zhihan Zhang is a doctoral student at the University of Notre Dame, maintaining a perfect GPA of 4.0. As a research intern, Zhihan has gained extensive experience in notable companies including Tencent Americas, Microsoft, Amazon, and Snap Inc., focusing on various aspects of large language models, such as instruction tuning for mathematical reasoning, knowledge-augmented commonsense reasoning, and instruction optimization. Additionally, Zhihan has contributed to optimizing recommender systems at Tencent News, and is actively involved in evaluating instruction-following capabilities of large language models at Amazon.
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