CRCL at SemEval-2024 Task 2: Simple prompt optimizations
<|reference_start|>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.<|reference_end|>
@article{brutti-mairesse2024crcl,
    title={CRCL at SemEval-2024 Task 2: Simple prompt optimizations},
    author={Cl'ement Brutti-Mairesse and Lo"ic Verlingue},
    journal={SemEval-2024},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.01942},
    primaryClass={cs.CL}
}