arxivcs.CLcs.AI2026-07-11
Efficiently Adapting Spoken Language Models for the Singaporean Context
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. We adapt an open-source SLM to…