Yu-Xiao Wang, J. van Hunen, Julien Mouli-Castillo et al.
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This work proposes SciFigQual-Bench, a full-text contextual benchmark that evaluates scientific image across five dimensions (clarity, layout,captionfit, contextrelevance, andmisleadingrisk), and develops SFQ-Agent to achieve auditable and refined scoring through the collection and fusion of modal evidence.
Zi-Han Deng, Chuanzhi Xu, Hui-Qi Liang et al.
· arXiv.org · 1 citation
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Jul 2026
SciFigAlign is proposed, a fine-tuned multimodal scorer that grounds figure quality assessment in manuscript evidence and confirms that manuscript-grounded inputs, citing-context denoising, and ranking supervision are all critical, showing that scientific figure assessment requires learned alignment between visual cont...
Chuanzhi Xu, Zi-Han Deng, Hui-Qi Liang et al.
· arXiv.org · 0 citations
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