Arrow Research search
Back to AAMAS

AAMAS 2026

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

Conference Paper Demonstration Track Autonomous Agents and Multiagent Systems

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

  • Argumentation
  • LLMs
  • RAG

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2026
Indexed papers
8043
Paper id
473980500762468289
v2026.09.13