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New RE-SciVQA Method Targets Scientific Figure Comprehension via Retrieval and Lightweight MLLM Adaptation

A new paper, RE-SciVQA, proposes improving scientific visual question answering by combining context-relevant retrieval with lightweight adaptation of multimodal large language models, addressing figures that carry key information beyond article text.

Read the full story at arXiv cs.AI ↗

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  1. 2026-11-03 05:00 · arXiv cs.AI
    RE-SciVQA: Improving Scientific VQA With Context-Relevant Retrieval and Lightweight MLLM Adaptation

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