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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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Devin Bayly
University of Arizona
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ACCESS CSSN, Campus Champions, CCMNet
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research computing facilitator, Affinity Group Leader, CCMNet
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Feseha Abebe-Akele
Elizabeth City State University
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CCMNet
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mentor, researcher/educator, research computing facilitator, CCMNet
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Expertise
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