Jiatong Yu
Hi! I'm a fourth-year undergraduate student at Princeton NLP Group. I'm part of the amazing and supportive lab led by Prof. Danqi Chen. I'm also working with Prof. Sanjeev Arora and Prof. Kai Li on data sampling and serverless training platform, respectively.
On the research side, I'm broadly interested in reliable evaluation, smart use of data, and architectural designs for better reasoning and planning abilities.
My friends and I founded AI@Princeton, Princeton's largest undergraduate AI club. We actively connect with AI researchers from the industry! If you're interested in getting involved, I can be reached at jiatongy [at] princeton.edu.
Publications
2023
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Evaluating Large Language Models at Evaluating Instruction Following.Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi ChenPreprint[paper]
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Enabling Large Language Models to Generate Text with CitationsTianyu Gao, Howard Yen, Jiatong Yu, Danqi ChenEmpirical Methods in Natural Language Processing (EMNLP), 2023.[paper]
Coursework
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COS484 Natural Language Processing, taught by Karthik Narasimhan [Final Project]Teaching Assistant for Spring 2023, taught by Danqi Chen
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COS521 Advanced Algorithm Design, taught by Matt Weinberg and Huacheng Yu [Final Project]
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COS597G Understanding Large Language Models, taught by Danqi Chen [Final Project]
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ECE539B Machine Learning and Wireless Systems, taught by Vincent Poor [Final Project]
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COS526 Neural Rendering, taught by Felix Heide [Final Project]
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COS598D Systems and Machine Learning, taught by Kai Li