SOURCE-LINKED INTELLIGENCE
Video-FLAIR: Not Whether to Reason, But How
Multimodal queries can require different types of reasoning. Some can be answered via perceptual reasoning, extracting information directly from the visual signal, while others require compositional reasoning that combines observations or deliberative reasoning that evaluates competing hypotheses. However, many existing methods apply a uniform reasoning strategy across queries, leading to unnecessary computation on simple tasks and insufficient reasoning on complex ones. We introduce Video-FLAIR, a training framework that learns to select the appropriate reasoning mode for each query using rei
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T00:34:49.000Z
First collected: 2026-09-21T09:11:58.312Z. This is not the publication date.