The paper introduces a multimodal Theory of Mind (ToM) question answering benchmark, MMToM-QA, and a new method, BIP-ALM (Bayesian Inverse Planning Accelerated by Language Models), for engineering multimodal ToM capacity….
Continue readingThe article discusses the potential of Large Language Models (LLMs) in understanding and mimicking human behaviour in a Human-Robot Interaction scenario. It examines whether LLMs can effectively act as a…
Continue readingThe article investigates the potential of Large Language Models (LLMs) to exhibit Theory of Mind (ToM) abilities, particularly in Human-Robot Interaction. ToM involves attributing mental states such as beliefs, intentions,…
Continue readingThe paper provides an overview of the emerging field of social robotics and mediation research. It highlights the potential of a social robot mediator in a multiparty setting, particularly in…
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