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Author

Pengcheng Wang

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Aug 2026

Robustness evaluation of explainable AI methods under natural image corruptions

This study presents the first comprehensive evaluation framework systematically assessing XAI robustness under natural image corruptions encountered in production environments and establishes the first evidence-based XAI robustness ranking under natural corruptions, providing actionable guidance for practitioners selecting methods in real-world applications where input quality cannot be guaranteed.

Guilin Zhang, Wulan Guo, Ziqi Tan et al. · 0 citations
Preprint Jul 2026

Look Less, Think Faster: Joint Token-Compute Adaptation for Multimodal LLMs

SmartVL is proposed, a unified adaptive inference framework that jointly controls vision token number and model compute capability in response to varying input contents and compute budgets and consistently outperforms prior adaptive methods and achieves superior accuracy-efficiency Pareto frontiers.

Pengcheng Wang, Zhiquan Wang, Jayoung Lee et al. · 0 citations