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News/Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability
arxiv
PublishedOctober 28, 2026 at 4:00 AM

Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability

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arXiv:2605.22168v2 Announce Type: replace-cross Abstract: Vision-Language Models (VLMs) map complex visual inputs to semantic spaces, but interpreting the cross-modal reasoning of VLMs currently relies on post-hoc explainers evaluated via unimodal perturbation metrics. We expose a limitation in this

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arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation2harxivCounterfactual Model Testing Under Distribution Shift2harxivCentralized Critics for N-Agent Ad Hoc Teamwork2harxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning2h
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