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deep-learning

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AI for Business
San Diego State University

The research focus is to apply the pre-training techniques of Large Language Models to the encoding process of the Code Search Project, to improve the existing model and develop a new code searching model. The assistant shall explore a transformer or equivalent model (such as GPT-3.5) with fine-tuning, which can help achieve state-of-the-art performance for NLP tasks. The research also aims to test and evaluate various state-of-the-art models to find the most promising ones.

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Chimdia Kabuo

Indiana University-Purdue University Fort Wayne

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Yating Fang

Rutgers University

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Northeast

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Joseph Antonucci

New Jersey Institute of Technology

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DooSoo Yoon

University of Iowa

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Rajat Goel

University of California, Davis

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Rachael Auch

South Dakota State University

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mentor, research computing facilitator, regional admin, CCMNet

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