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News/Efficiently Adapting Spoken Language Models for the Singaporean Context
arxiv
PublishedJuly 14, 2026 at 4:00 AM

Efficiently Adapting Spoken Language Models for the Singaporean Context

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arXiv:2607.10092v1 Announce Type: cross Abstract: Spoken language models (SLMs) unify speech perception and reasoning, but adapting them to sensitive domains is underexplored, especially when the original training data is inaccessible and the use case demands multilingual, spoken-query interaction.

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