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个人简介
My research interests lie within the extensive domain of trustworthy machine learning, with a particular emphasis on explainability, robustness, and fairness. Additionally, I am intrigued by the intersection of trustworthy machine learning with other applications, including but not limited to NLP (particularly large language models), health informatics, and information retrieval. I've got 5 years of industry experience building large scale NLP systems for dialogue assistants/chatbots, recommendation engines. During this process, I've focused on specific research along few-shot learning, out of distribution generalization, semi-supervised learning, large language modeling for text generation/summarization. Before that, I've got my master's in computer science from Texas A&M University with thesis on interpretable fake news detection.
研究兴趣
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arXiv (Cornell University) (2023)
Proceedings of the ACM on Human-Computer Interactionno. GROUP (2022): 1-27
ACM Conference on Human Factors in Computing Systems (CHI)pp.1-20, (2022)
UbiComp/ISWC Adjunctpp.30-31, (2022)
user-61447a76e55422cecdaf7d19(2021)
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