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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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Som Bishoyi

University of Massachusetts Dartmouth

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Madhukara Kekulandara

University of Rhode Island

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Fernando Garzon

University of California, San Diego

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Daniel Sierra-Sosa

Hood College

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Joel Olaoye

URI

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Paul Rulis

University of Missouri-Kansas City

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researcher/educator, research computing facilitator

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