Papers by Nimrod Shabtay

1 papers
CARES: Context-Aware Resolution Selector for VLMs (2026.acl-long)

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Challenge: Large vision–language models process images at native or high resolution to remain effective across tasks.
Approach: They propose a lightweight preprocessing module that predicts the minimum sufficient input resolution for large vision–language models.
Outcome: CARES predicts when a pre-trained VLM's response converges to its peak ability to answer correctly, reducing compute by up to 80%.

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