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Xiang Yue is a postdoc at Carnegie Mellon University working on natural language processing and large language models. He has published papers on code generation, multimodal understanding, attribution, and privacy for LLMs.
- Publication
ACL 2022. CliniQG4QA: Generating Diverse Questions for...
- GitHub Pages
Xiang Yue. Homepage: xiangyue9607.github.io. Email:...
- Publication
ACL 2022. CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering. Xiang Yue *, Frederick Zhang*, Ziyu Yao, Simon Lin, Huan Sun. IEEE Internatinal Conference on Bioinformatics and Biomedicine 2021 (BIBM 2021)
Articles 1–20. Carnegie Mellon University - Cited by 1,843 - Natural Language Processing - Artificial Intelligence - Large Language Models.
Xiang Yue. Homepage: xiangyue9607.github.io. Email: yue.149@osu.edu. Short Bio: Xiang is now a final-year CS Ph.D. student at The Ohio State University. His research interests lie in Natural Language Processing (NLP) with an emphasis on Question Answering and Privacy-preserving NLP.
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Xiang Ji ( c. 232 – c. January 202 BC [1] ), courtesy name Yu, was the Hegemon-King of Western Chu during the Chu–Han Contention period (206–202 BC) of China. A noble of the state of Chu, Xiang Yu rebelled against the Qin dynasty, destroying their last remnants and becoming a powerful warlord.
Nov 27, 2023 · MMMU is a new benchmark for multimodal models to evaluate their understanding and reasoning on college-level tasks. It covers six disciplines and 30 subjects with 11.5K questions and 30 image types.
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Oct 25, 2022 · View a PDF of the paper titled Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe, by Xiang Yue and 7 other authors
