In this section
@inproceedings{Dejl:2026,
author = {Dejl, A and Gorur, D and Toni, F},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).},
title = {ArgLLM-App: an interactive system for argumentative reasoning with large language models},
year = {2026}
}
TY - CPAPER
AB - 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-empoweredagents 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. A video demonstration of ArgLLM-App is available at https://youtu.be/vzwlGOr0sPM
AU - Dejl,A
AU - Gorur,D
AU - Toni,F
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
PY - 2026///
TI - ArgLLM-App: an interactive system for argumentative reasoning with large language models
ER -