annotation, and text structure. To overcome the one-to-many interference, we carefully
design a multi-task training framework by conditioning on a sequence of hierarchical tags
to the decoder for encouraging knowledge sharing and avoiding interference through
shared and specified tags respectively. Remarkably, Qwen-Audio achieves impressive per-
formance across diverse benchmark tasks without requiring any task-specific fine-tuning,
surpassing its counterparts. Building upon the capabilities of Qwen-Audio, we further
develop Qwen-Audio-Chat, which allows for input from various audios and text inputs,
enabling multi-turn dialogues and supporting various audio-central scenarios.
Qwen-Audio