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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results