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Author

Prasanth Yadla

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#small language model Preprint Sep 2026

Compressing Streaming Neural Audio Encoders via Latent-Space Distillation

This work studies how to compress a tokenizer by distillation, taking as the supervision target neither the discrete token nor the output distribution but the pre-quantizer latent the model actually consumes - the last representation the two token interfaces share.

Prasanth Yadla, Mohammad Samragh, Dongseong Hwang et al. · 0 citations
Review Jul 2026

A survey of parameter-efficient fine-tuning techniques for audio foundation models

This survey systematically reviews PEFT methods that update only 0.1–5% of model parameters while achieving good performance across diverse audio tasks, the first survey to comprehensively examine PEFT techniques specifically for audio foundation models.

Prasanth Yadla · 0 citations

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