Author

E. Kharitonov

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#natural language process... Jun 2026

Multi-Faceted Interactivity Alignment in Full-Duplex Speech Models

This work proposes a post-training alignment method that comprehensively improves the interactivity of full-duplex spoken dialogue models through RL, and addresses the four canonical axes of interactivity: pause handling, turn-taking, backchanneling, and user interruption.

Atsumoto Ohashi, Neil Zeghidour, Alexandre Défossez et al. · arXiv.org · 0 citations