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      "statement": "# Qwen-Audio: task-conditioned audio-language pretraining and natural-prompt interaction\n\nDeveloped hierarchical task-tag conditioning for heterogeneous audio-language pretraining; the later Qwen2 stage replaced tags with natural-language task prompts and added audio-instruction preference adaptation.\n\n## Scientific scope\n\nInherits audio encoders, language models, multitask learning and DPO. One family package with explicit two-stage deltas, not two model-size entries. Qwen2-Audio outputs text responses; it is not the later Thinker/Talker speech-generation architecture. No universal audio understanding guarantee.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nYunfei Chu; Jin Xu; Xiaohuan Zhou; Qian Yang; Shiliang Zhang; Zhijie Yan; Chang Zhou; Jingren Zhou; Haojie Wei; Xipin Wei; Zhifang Guo; Yichong Leng; Yuanjun Lv; Jinzheng He; Junyang Lin\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models](https://arxiv.org/abs/2311.07919v1)\n- [Qwen2-Audio Technical Report](https://arxiv.org/abs/2407.10759v1)\n",
      "summary": "Developed hierarchical task-tag conditioning for heterogeneous audio-language pretraining; the later Qwen2 stage replaced tags with natural-language task prompts and added audio-instruction preference adaptation.",
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