WavRAG: Audio-Integrated Retrieval Augmented Generation for Spoken Dialogue Models (2025 · 22 citations)
Most retrieval-augmented generation (RAG) systems assume text input, so spoken dialogue models usually reach them through a cascaded ASR step.
Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models (2026 · 4 citations)
Full-duplex spoken dialogue models (SDMs) must decide both what to say and when to say it. Reinforcement learning could improve this, but current automatic metrics make poor rewards. Timing-oracle proxies, event counts and metric suites each capture only part of interaction quality, and human ratings are expensive…
SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness (2026)
End-to-end spoken dialogue systems need reward signals that go beyond text semantics. The authors identify two weaknesses in current evaluators. The first is a modality gap: prosody, emotion and channel cues are invisible to text-based judges. The second is a colloquialness gap: written-style replies sound scripted…

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Updated 1 November 2026