@inproceedings{turkstra-etal-2026-argsbase,
title = "{ARGSBASE}: A Multi-Agent Interface for Structured Human{--}{AI} Deliberation",
author = "Turkstra, Frieso and
Nabhani, Sara and
Khatib, Khalid Al",
editor = "Croce, Danilo and
Leidner, Jochen and
Moosavi, Nafise Sadat",
booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 3: System Demonstrations)",
month = mar,
year = "2026",
address = "Rabat, Marocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.eacl-demo.39/",
pages = "563--574",
ISBN = "979-8-89176-382-1",
abstract = "We present a new deliberation interface that enables users to engage with multiple large language models (LLMs), coordinated by a moderator agent that assigns roles, manages turn-taking, and ensures structured interaction. Grounded in argumentation theory, the system fosters critical thinking through user{--}LLM dialogues, real-time summaries of agreements and open questions, and argument maps. Rather than treating LLMs as mere answer providers, our tool positions them as reasoning partners, supporting epistemically responsible human{--}AI collaboration. It exemplifies hybrid argumentation and aligns with recent calls for ``reasonable parrots,'' where LLM agents interact with users guided by argumentative principles such as relevance, responsibility, and freedom. A user study shows that participants found the tool easy to use, perspective-enhancing, and promising for research, while suggesting areas for improvement. We make the deliberation interface accessible for testing and provide a recorded demonstration."
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%0 Conference Proceedings
%T ARGSBASE: A Multi-Agent Interface for Structured Human–AI Deliberation
%A Turkstra, Frieso
%A Nabhani, Sara
%A Khatib, Khalid Al
%Y Croce, Danilo
%Y Leidner, Jochen
%Y Moosavi, Nafise Sadat
%S Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Marocco
%@ 979-8-89176-382-1
%F turkstra-etal-2026-argsbase
%X We present a new deliberation interface that enables users to engage with multiple large language models (LLMs), coordinated by a moderator agent that assigns roles, manages turn-taking, and ensures structured interaction. Grounded in argumentation theory, the system fosters critical thinking through user–LLM dialogues, real-time summaries of agreements and open questions, and argument maps. Rather than treating LLMs as mere answer providers, our tool positions them as reasoning partners, supporting epistemically responsible human–AI collaboration. It exemplifies hybrid argumentation and aligns with recent calls for “reasonable parrots,” where LLM agents interact with users guided by argumentative principles such as relevance, responsibility, and freedom. A user study shows that participants found the tool easy to use, perspective-enhancing, and promising for research, while suggesting areas for improvement. We make the deliberation interface accessible for testing and provide a recorded demonstration.
%U https://aclanthology.org/2026.eacl-demo.39/
%P 563-574
Markdown (Informal)
[ARGSBASE: A Multi-Agent Interface for Structured Human–AI Deliberation](https://aclanthology.org/2026.eacl-demo.39/) (Turkstra et al., EACL 2026)
ACL
- Frieso Turkstra, Sara Nabhani, and Khalid Al Khatib. 2026. ARGSBASE: A Multi-Agent Interface for Structured Human–AI Deliberation. In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 563–574, Rabat, Marocco. Association for Computational Linguistics.