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Memory Internalization via Test-Time Training for Long-Video Understanding
Not provided
video understandingmemory internalizationquestion answeringadaptation
2610.26910
Builder Relevance
2h ago70%
Abstract
The paper presents a framework for adapting video-language models to improve long-video understanding by internalizing video knowledge for efficient question answering.
Reality Card
Core Claim
MIT^3 achieves data-efficient video-free question answering with substantially fewer synthesized samples than prior methods.
Method / Result
Achieves improved performance across LVBench, LongVideoBench, and Video-MME with fewer synthesized samples.
Limitations
The method relies on specific configurations for video knowledge writing and visual evidence shaping, which may affect reproducibility.
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