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Jin Zhu

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#artificial intelligence Review Feb 2026

FMMD: A multimodal multidisciplinary dataset of open peer reviews from F1000Research

FMMD is introduced, a multimodal and multidisciplinary open peer review dataset curated from F1000Research that supports a range of research tasks, including visual-semantic consistency classification, figure-related review comment generation, and editorial decision prediction based on multimodal manuscript inputs.

Zhenzhen Zhuang, Yu Fu, Jin Zhu et al. · 1 citation
2025

ComRank: Ranking Loss for Multi-Label Complementary Label Learning

This work proposes ComRank, a ranking loss framework for MLCLL, which encourages complementary labels to be ranked lower than non-complementary ones, thereby modeling pairwise label relationships and ensures Bayes consistency under both uniform and biased cases.

Jin Zhu, Yi Gao, Miao Xu et al. · 0 citations

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