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Preprint Sep 2026

Qwen-Audio-Agent Technical Report

We present Qwen-Audio-Agent, a harness that combines full-duplex voice interaction with asynchronous task execution through a foreground-background architecture. A Frontend Agent manages dialogue and selects between direct tool use and delegation, while a Backend Agent carries out delegated tasks in a separate context....

Chong Deng, Yunjie Ji, Yu-Xiang Kong et al. · 1 citation · ⚡1
#natural language process... Preprint Sep 2026

Qwen-Audio-3.0-ASR Technical Report

Qwen-Audio-3.0-ASR is presented, a Mixture-of-Experts (MoE) LLM-based ASR system designed to address production demands through a unified, instruction-following framework and demonstrates state-of-the-art or highly competitive recognition performance across a broad range of evaluation conditions.

Chuan-Meng Bian, Da-Ren Chen, Pei-Xin Chen et al. · 3 citations

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