Interactive active learning for literature screening: finetuning GPT with DeepSeek reasoning for cross-domain generalization
We propose an active learning framework that leverages disagreement between large language models (GPT and DeepSeek) to selectively fine-tune GPT models with reasoning-augmented supervision, significantly improving accuracy and recall in automated biomedical literature screening.
Mar 9, 2026