@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://preview.aclanthology.org/ingest-eacl/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."
}