AAMAS 2026
ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models
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 weproposeaweb-basedsystemimplementingArgLLM-empowered agents for binary tasks. ArgLLM-App supports visualisation of the produced explanations and interaction with human users, allowing themtoidentifyandcontestanymistakesinthesystem’sreasoning. It is highly modular and enables drawing information from trusted external sources. ArgLLM-App is publicly available at argllm. app, with a video demonstration at youtu. be/vzwlGOr0sPM.
Authors
Keywords
Context
- Venue
- International Conference on Autonomous Agents and Multiagent Systems
- Archive span
- 2002-2026
- Indexed papers
- 8043
- Paper id
- 473980500762468289