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arXiv · 2405.01942

CRCL at SemEval-2024 Task 2: Simple prompt optimizations

Clément Brutti-Mairesse·Loïc Verlingue
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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.

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Clément Brutti-Mairesse, Loïc Verlingue. 2024-05-03. CRCL at SemEval-2024 Task 2: Simple prompt optimizations. https://arxiv.org/abs/2405.01942

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