CRCL at SemEval-2024 Task 2: Simple prompt optimizations

arXiv:2405.01942v1 Announce Type: new
Abstract: 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.

abstract apply arxiv as-a-service challenge clinical clinical trial cs.cl inference language language model line llm optimization prompt relationship report service simple type