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      "statement": "# SALMONN: dual audio encoders with activation-tuned language understanding\n\nIntegrated speech and general-audio encoders with a pretrained language model and used few-shot activation tuning to elicit broader audio-conditioned behavior.\n\n## Scientific scope\n\nInherits pretrained encoders/LLMs and cross-modal adapters. Emergence/first/generic-hearing claims are source-specific, not proof of universal hearing or unrestricted unseen-task transfer.\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\nChangli Tang; Wenyi Yu; Guangzhi Sun; Xianzhao Chen; Tian Tan; Wei Li; Lu Lu; Zejun Ma; Chao Zhang\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- [SALMONN: Towards Generic Hearing Abilities for Large Language Models](https://arxiv.org/abs/2310.13289v1)\n",
      "summary": "Integrated speech and general-audio encoders with a pretrained language model and used few-shot activation tuning to elicit broader audio-conditioned behavior.",
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