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technology från Arxiv cs.ai

FSA-GRPO: Teaching Auditory LLMs to Use Few-shot Demonstrations

Haolong Zheng, Siyin Wang, Xulin Fan, Zengrui Jin, Mark Hasegawa-Johnson
Jun 3, 2026 at 04:00
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arXiv:2606.02615v1 Announce Type: cross Abstract: 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 language models are not explicitly trained to perform inference in this demonstration-conditioned format, limiting the...

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