Author

Hao Zhang

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Preprint Jul 2026

Beyond Accuracy: Auditing Spatial Provenance in Visual Token Pruning for OCR-Critical MLLM Inference

This work turns an evidence-risk audit of text-rich multimodal large language models into an evidence-risk audit that couples answer behavior with geometric token-origin provenance, interventions, and realized cost; transparent training-free selectors isolate controlled operating points.

Feixiang Liu, Qiang Qiu, Hao Zhang et al. · 0 citations