How to start a conversation proactively?
Overview
This paper addresses the challenge of proactive conversation initiation for social robots by proposing a schema of contextual variables and introducing a curated dataset (CCO) of contextually-aligned openers. The authors fine-tune small language models (SLMs) using this dataset and show through comparative evaluation that explicit contextual structuring significantly improves the quality and appropriateness of conversation initiations compared to zero-shot LLMs and off-the-shelf SLMs.
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- arXiv Robotics — research abstractsSignalHow to start a conversation proactively?
This paper addresses the challenge of proactive conversation initiation for social robots by proposing a schema of contextual variables and introducing a curated dataset (CCO) of contextually-aligned openers. The authors fine-tune small language models (SLMs) using this dataset and show through comparative evaluation that explicit contextual structuring significantly improves the quality and appropriateness of conversation initiations compared to zero-shot LLMs and off-the-shelf SLMs.
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