2 papers
cs.CL2026
RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings
Wei Han, David Martinez, Anna Khanina +2
A common strategy in transfer learning is few shot fine-tuning, but its success is highly dependent on the quality of samples selected as training examples. Active learning methods…
cs.CL2025
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models
Tabinda Sarwar, Antonio Jose Jimeno Yepes, Lawrence Cavedon
Background: Data collected in controlled settings typically results in high-quality datasets. However, in real-world applications, the quality of data collection is often compromis…