The reviewed record of science sign in
Pith

arxiv: 2303.11708 · v2 · pith:4B4ARWGQ · submitted 2023-03-21 · cs.CL

The Open-domain Paradox for Chatbots: Common Ground as the Basis for Human-like Dialogue

Reviewed by Pith T0 review T1 audit T2 compute T3 formal T4 kernel pith:4B4ARWGQrecord.jsonopen to challenge →

classification cs.CL
keywords commondialoguegroundopen-domainchatbotsparadoxbasishuman-like
0
0 comments X
read the original abstract

There is a surge in interest in the development of open-domain chatbots, driven by the recent advancements of large language models. The "openness" of the dialogue is expected to be maximized by providing minimal information to the users about the common ground they can expect, including the presumed joint activity. However, evidence suggests that the effect is the opposite. Asking users to "just chat about anything" results in a very narrow form of dialogue, which we refer to as the "open-domain paradox". In this position paper, we explain this paradox through the theory of common ground as the basis for human-like communication. Furthermore, we question the assumptions behind open-domain chatbots and identify paths forward for enabling common ground in human-computer dialogue.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability

    cs.CL 2026-07 conditional novelty 6.0

    A benchmark for LLM agents in partially observable joint decision-making reveals that deliberation challenges current models but can enable reflection and error correction.