Author

Avi Ben Cohen

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Preprint Jul 2026

Propose and Attend: Training-free MLLM Grounding Confidence via Multi-Token Localized Attention

Multi-Token Localized Attention (MTLA) is proposed: a training-free, post-hoc score that measures how strongly a prediction's tokens attend to the region they claim and nearly doubles the zero-shot COCO detection AP of an open-source 8B generalist (from 20.4 to 37.0).

Daniel Shalam, Emanuel Ben Baruch, Avi Ben Cohen et al. · 0 citations