Beyond Captions: Context-Grounded Reconstruction for Biomedical Multimodal Continued Pretraining
The framework reconstructs biomedical figures by creating coherent sequences from raw text records using a source-grounded approach. It uses reference constraints and coherence checks to link specific textual context directly to the figures it describes, resulting in a richer training signal for medical multimodal language models.