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Author

Changli Tang

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Review Aug 2026

Towards general auditory intelligence for machine listening and speaking

This Review provides a comprehensive review of recent progress in integrating audio into large language models, with a focus on four key areas: audio comprehension, audio generation, speech-based interaction and audio–visual understanding.

Si-Yin Wang, Zengrui Jin, Changli Tang et al. · 1 citation
Preprint Jul 2026

SALMONN-2: Advancing General-Purpose Hearing Abilities with Self-Supervised Representations

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.

Xiaoyu Yang, Xuenan Xu, Wenyi Yu et al. · 0 citations

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