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Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs

The paper addresses the issue of temporal reasoning in Video Large Language Models (VideoLLMs), where reversing the frame order of a video often does not affect the final prediction. The study introduces a method called Temporal Activation Injection (TAI) to improve temporal reasoning without training, showing consistent improvements across multiple models and benchmarks.

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PublishedOctober 1, 2026Youngwoo Shin, Yusung Ro, Minseo Kim
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WHY IT MAY MATTER

This method could be useful for improving the temporal reasoning capabilities of video processing models without requiring additional training, which is beneficial for applications needing accurate temporal understanding.

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