SAGE: Semantic Anchor-Guided Evolution for Grounded Medical QA Data Synthesis

Excerpt

arXiv:2610.08093v1 Announce Type: new Abstract: Developing reliable models for clinical tasks, such as Medical Question Answering (QA), is severely constrained by the limited availability of high-quality, expert-annotated training data. This challenge is exacerbated by stringent privacy requirements and the impracticality of utilizing large open-source corpora or proprietary cloud APIs within resource-limited clinical settings. To address these obstacles, we introduce SAGE (\textit{Semantic Anch