This paper presents an implementation of a dialogue system based on information state up-date approach according to Larsson (2002), which enables the integration of rule-based handling of dialogue, expressed by Harel's stat-echarts (1987), and Larsson’s theoretical account grounded in theories of dialogue, expressed by information state update rules.
This paper surveys how conversational grounding is evaluated in task-oriented dialogue in the current era of LLMs and focuses on how conversational grounding is modelled explicitly—using dialogue acts and by modelling the participant mental state.
Michelle Elizabeth, Gwénolé Lecorvé, L. Rojas-Barahona et al.· SIGDIAL Conferences· 0 citations
Successful conversations require speakers to align on conceptual understanding, a challenging but crucial task in human-robot interaction. With the increasing use of large language models for dialogue, robots move from passively acquiring human conceptualizations to actively shaping alignment. However, the design space...
Sheng-Chen Zhang, Mei-Ying Li, Zi-Xuan Wang et al.· Proceedings of the 14th Nord...· 0 citations
In persona-based dialogue generation (PDG), LLMs often overuse persona attributes by incorporating them regardless of dialogue context, resulting in unnatural responses. Despite its practical significance, the underlying causes remain unexplored, with no method to mitigate this problem or metric to assess the appropria...
Humanoid robots are increasingly being popular and developed for human-centered applications, yet their ability to provide intelligent conversations and natural interactive knowledge assistance remains constrained by traditional rule-based dialogue systems, pre-defined responses and limited knowledge repositories. Larg...
Adaptive behavior is a fundamental requirement for social robots operating in real-world environments, where interactions must dynamically respond to both observable actions and inferred user states. In this work, we propose a novel framework that models human–robot interaction as a planning problem, where adaptive con...
Giulia Berettieri, Anna Allegra Bixio, Lucrezia Grassi et al.· Companion Publication of the...· 0 citations
These findings motivate a state-action controller that starts from the base model action and selectively edits it using structural readouts, without requiring a complete predicted belief state as an intermediate representation.
Atahan Dokme, Larry Heck· 0 citations
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