Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements
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DOI: 10.1109/access.2025.3591739
Abstract: Training small language models for specific tasks often encounters a significant challenge: the limited availability of high-quality labeled data, which can restrict model performance. This constraint is especially critical in organizations handling sensitive data, where… read more here.
Keywords: centric fine; data centric; language; small language ... See more keywords