arXiv Artificial Intelligence

Qwen-Audio-3.1-Realtime: Towards Reliable Agentic Voice Interaction

Qwen-Audio-3.1-Realtime: Towards Reliable Agentic Voice Interaction

Quick summary

arXiv:2609.25176v2 Announce Type: replace-cross Abstract: Real-time voice assistants must reason over evolving requests, execute actions, and follow conversational rules. Qwen-Audio-3.1-Realtime brings these requirements together through Think, Act, and Speak and Coordinate. Think combines Core-Cocktail supervised fine-tuning with Multimodality and Multi-Teacher On-Policy Distillation (M$^{2}$-OPD) to transfer language capabilities and develop native audio skills. Act uses self-evolving executable environments and multi-granularity rollouts for Group Relative Policy Optimization (GRPO), teachi

Key takeaways

  • arXiv:2609.25176v2 Announce Type: replace-cross Abstract: Real-time voice assistants must reason over evolving requests, execute actions, and follow conversational rules.
  • Qwen-Audio-3.1-Realtime brings these requirements together through Think, Act, and Speak and Coordinate.
  • Think combines Core-Cocktail supervised fine-tuning with Multimodality and Multi-Teacher On-Policy Distillation (M$^{2}$-OPD) to transfer language capabilities and develop native audio skills.

Why it matters

The significance is not only the legal text but how it changes product design. Decisions around “Qwen-Audio-3.1-Realtime: Towards Reliable Agentic Voice Interaction” may reshape data collection, model training, output accountability and market access.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗