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UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI

Micluta-Campeanu, Marius et al.
arXiv (All) · Papers
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computation-and-language
This paper describes the approach of the UniBuc team in tackling the SemEval 2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials. We used SOLAR Instruct, without any fine-tuning, while focusing on input manipulation and tailored prompting. By customizing prompts for individua
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