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Tatsuya Kawahara

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Preprint Jul 2026

Rethinking Speech Foundation Model Fine-tuning: Better SFT or Better Match?

It is suggested that many reported downstream gains reflect instance and seed dependent elicitation match, rather than universally improving the attainable performance ceiling, in self-supervised fine-tuning.

Wangjin Zhou, Yizhou Zhang, Yichi Wang et al. · 0 citations