A reinforcement-learning method that forces video grounding models to emit progressively more accurate intermediate timestamps, improving accuracy and reasoning faithfulness without large teacher models.
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TAR: Temporal Anchor-Constrained Reasoning for Video Temporal Grounding
A reinforcement-learning method that forces video grounding models to emit progressively more accurate intermediate timestamps, improving accuracy and reasoning faithfulness without large teacher models.