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University, University of Southern California, Seoul National University
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MLLMs struggle to generalize in Video Temporal Grounding not just due to unseen concepts, but because visual domain shift breaks their ability to link temporal localization with entity attention – a problem EVIDENT solves by explicitly routing adaptation through visual entity evidence.
The secret to effectively pruning LLMs might not be *how* you search for redundant layers, but *what* you're optimizing for.
