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Improving Spatial-Temporal Reasoning in Video-Language Models with Structured Video Prompting
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multimodalreasoningvideo understanding
2608.28666
Builder Relevance
1h ago70%
Abstract
The paper proposes structured video prompting as a method to enhance video-language models' performance in spatial-temporal reasoning tasks.
Reality Card
Core Claim
Structured video prompting improves performance in video-language models by organizing visual evidence at inference time without altering model weights.
Method / Result
Structured inputs improve performance in several cases across two video benchmarks.
Limitations
The method is training-free, which may limit understanding of its underlying mechanisms.
Paper to code
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