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TACG (Temporal Attention-Consistency Grounding) is a post-training method that, through attention consistency training, aligns the attention distribution with both the model predictions and the ground-truth annotations, without introducing additional temporal cues, relying on an external timestamp encoder, or modifying the model architecture.
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10/20/2026
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