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document-level-reasoning

topic1 events
papersTODAY 04:00 UTC

TestHallVQA benchmark probes document-level reasoning in vision-language models

A new arXiv paper introduces TestHallVQA, a benchmark built from scientific exam material for evaluating large vision-language models on visual question answering over long, multi-page documents. The authors argue that current planar VQA benchmarks tend to test isolated skills rather than document-level reasoning amid redundant context. The benchmark is intended to expose where such models fail when relevant information is buried in lengthy inputs.

benchmarks/vision-language/document-understanding/evaluation