CRCL at SemEval-2024 Task 2: Simple prompt optimizations
2024-05-03Code Available0· sign in to hype
Clément Brutti-Mairesse, Loïc Verlingue
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- github.com/clementbm-clb/semeval-2024OfficialIn papernone★ 2
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.