[Submitted on 6 Aug 2024]
View a PDF of the paper titled Lisbon Computational Linguists at SemEval-2024 Task 2: Using A Mistral 7B Model and Data Augmentation, by Artur Guimar~aes and 1 other authors
Abstract:This paper describes our approach to the SemEval-2024 safe biomedical Natural Language Inference for Clinical Trials (NLI4CT) task, which concerns classifying statements about Clinical Trial Reports (CTRs). We explored the capabilities of Mistral-7B, a generalist open-source Large Language Model (LLM). We developed a prompt for the NLI4CT task, and fine-tuned a quantized version of the model using an augmented version of the training dataset. The experimental results show that this approach can produce notable results in terms of the macro F1-score, while having limitations in terms of faithfulness and consistency. All the developed code is publicly available on a GitHub repository
Submission history
From: Artur Guimarães Rodrigues Abrantes Arede [view email]
[v1]
Tue, 6 Aug 2024 11:59:09 UTC (42 KB)
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