AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces the Multi-control Mixed Audio Generation benchmark, a systematic evaluation protocol that measures acoustic fidelity, speech quality, semantic alignment, and temporal accuracy, and establishes MMAG as a comprehensive benchmark for future research.
A multi-layer feature fusion (MLF) adapter that aggregates information from all encoder layers before projecting them into the language model is proposed and shows that MICL does not emerge naturally in ALLMs, but can be effectively acquired through targeted contextual biasing training.
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