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Author

Ailar Mahdizadeh

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Preprint Aug 2026

Coverage Matters: MarginMerge for Compressing Multi-Vector Visual Document Retrievers

It is argued that effective compression should preserve query-relevant coverage, meaning the diverse document regions that may become the strongest MaxSim match across queries, rather than selecting patches independently by salience, why dense rendered pages are easier to compress than natural images.

Ailar Mahdizadeh, Aria Salari, Sohail Rajabi et al. · 0 citations
Jul 2026

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models?

Results establish multi-label TTA for zero-shot 3D CT VLMs as a distinct problem and CARVE as a cardinality-aware solution and CARVE provides the most consistent improvements across multi-label, three-class, and binary CT tasks when the base model is already discriminative.

Ailar Mahdizadeh, Puria Azadi Moghadam, Xiangteng He et al. · 0 citations

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