Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements
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 ...
Speaking from his home in Washington, D.C., Fatsis reflects on the thousands of words that were added to the lexicon in 2025, ...
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