Assisted Debate Builder with Large Language Models
This provides an incremental improvement for researchers and practitioners in computational argumentation by offering a modular tool for debate verification and creation.
The authors tackled the problem of automated debate building by introducing ADBL2, an open-source tool that uses large language models for relation-based argument mining, achieving a 90.59% F1-score with their fine-tuned Mistral-7B model.
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.