New PMC-InterCPT dataset enhances biomedical multimodal models

Researchers have developed PMC-InterCPT, a new dataset designed to improve multimodal models for biomedical applications. This dataset addresses limitations in existing image-text pairs by incorporating relevant surrounding article text alongside figure captions. The pipeline cleans and reconstructs interleaved image-text samples, using LLM-supervised classifiers to filter for quality and medical relevance, and also addresses modality imbalance through resampling. AI

IMPACT Improves multimodal model performance in the biomedical domain by providing a more contextually rich dataset.

RANK_REASON Academic paper detailing a new dataset and methodology for multimodal model pretraining. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

• PMC-InterCPT
• Qwen3.5-4B-Base

• paper
• model release

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