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eess.AS2026
SALMONN-2: Advancing General-Purpose Hearing Abilities with Self-Supervised Representations
Xiaoyu Yang, Xuenan Xu, Wenyi Yu +10
Recent audio large language models (ALLMs) are typically built upon audio encoders trained with large amounts of supervised data. Since self-supervised learning (SSL) audio encoder…
eess.AS2026
FSA-GRPO: Teaching Auditory LLMs to Use Few-Shot Demonstrations
Haolong Zheng, Siyin Wang, Xulin Fan +2
Few-shot prompting provides an effective way to adapt auditory large language models to low-resource tasks such as children's speech recognition. However, most auditory large langu…