CRCL at SemEval-2024 Task 2: Simple prompt optimizations
We present a baseline for the SemEval 2024 task 2 challenge, whose objective is to ascertain the inference relationship between pairs of clinical trial report sections and statements. We apply prompt optimization techniques with LLM Instruct models provided as a Language Model-as-a-Service (LMaaS). We observed, in line with recent findings, that synthetic CoT prompts significantly enhance manually crafted ones.
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Language ModelingLanguage ModellingTask 2Similar Papers 제목 키워드 기반
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