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Efficiently Adapting Spoken Language Models for the Singaporean Context

Researchers adapted an open-source spoken language model to the multilingual Singaporean context using parameter-efficient fine-tuning and synthetic datasets.

Impact
38/100
Current rank score
2.26
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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