[2602.24172] ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models

Computer Science > Computation and Language arXiv:2602.24172 (cs) [Submitted on 27 Feb 2026] Title:ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models Authors:Adam Dejl, Deniz Gorur, Francesca Toni View a PDF of the paper titled ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models, by Adam Dejl and 2 other authors View PDF HTML (experimental) Abstract:Argumentative LLMs (ArgLLMs) are an existing approach leveraging Large Language Models (LLMs) and computational argumentation for decision-making, with the aim of making the resulting decisions faithfully explainable to and contestable by humans. Here we propose a web-based system implementing ArgLLM-empowered agents for binary tasks. ArgLLM-App supports visualisation of the produced explanations and interaction with human users, allowing them to identify and contest any mistakes in the system's reasoning. It is highly modular and enables drawing information from trusted external sources. ArgLLM-App is publicly available at this https URL, with a video demonstration at this https URL. Comments: Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI) Cite as: arXiv:2602.24172 [cs.CL]   (or arXiv:2602.24172v1 [cs.CL] for this version)   https://doi.org/10.48550/arXiv.2602.24172 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Related DOI: https://doi.org/10.65109/NWEK7590 Focus to learn more DOI(s) linking to rel...