Author

Yun Shi

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Preprint Aug 2026

GAUGE: Granularity-Adaptive Counterfactual Gating of Evidence for Incomplete Multimodal Classification

GAUGE is proposed, a lightweight counterfactual gating framework for incomplete multimodal classification that outperforms strong baselines across diverse incomplete-input settings and is established as a principled and scalable framework for fine-grained evidence control under modality incompleteness.

Yun Shi, Enshui Yu, Kairui Guo et al. · 0 citations