SOURCE-LINKED INTELLIGENCE

Not Another Text Benchmark: Putting the "Visual" Back in Visual Question Answering for Large Video Models

arXiv · AI, language, vision and robotics · article · Sep 15, 2026 · UTC

Large video models have exhibited impressive performance on a wide range of visual question answering tasks, owing to the rise of powerful, pretrained text and vision encoders. The usefulness of such models have also been demonstrated on a wide range of benchmarks, with an important caveat - the dominant approach in these benchmarks evaluates multiple choice reasoning via text options. This is a natural way to test text-based reasoning in these models, and has led to significant insights regarding model behavior in the community. In this work, we ask a different question - what happens when th

Read original source ↗ Open in workspace

recordType

paper

region

Global