Study shows LLMs can adapt to full-duplex, word-level spoken dialogue with little data
A new arXiv paper proposes adapting large language models to full-duplex spoken dialogue—where systems listen while speaking, backchannel, yield the floor, and can be interrupted—in a data-efficient way.
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- 2026-11-13 05:00 · arXiv cs.CL
An LLM Is All You Need: Data-Efficient Adaptation to Full-Duplex, Word-Level Spoken Dialogue