Assisted Debated Builder with Large Language Models - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Assisted Debated Builder with Large Language Models

Résumé

We introduce ADBL2, an assisted debate builder tool. It is based on the capability of large language models to generalise and perform relation-based argument mining in a wide-variety of domains. It is the first open-source tool that leverages relation-based mining for (1) the verification of pre-established relations in a debate and (2) the assisted creation of new arguments by means of large language models. ADBL2 is highly modular and can work with any open-source large language models that are used as plugins. As a by-product, we also provide the first fine-tuned Mistral-7B large language model for relation-based argument mining, usable by ADBL2, which outperforms existing approaches for this task with an overall F1-score of 90.59% across all domains.
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hal-04742709 , version 1 (18-10-2024)

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Elliot Faugier, Frédéric Armetta, Angela Bonifati, Bruno Yun. Assisted Debated Builder with Large Language Models. Europen Conference On Artificial Intelligence, Fredrik Heintz; Ulle Endriss; Francisco S. Melo, Oct 2024, Santiago de Compostela, Spain. ⟨10.3233/FAIA241026⟩. ⟨hal-04742709⟩
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