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Discovering new categories in open-world settings hinges on reshaping feature spaces, and CPF-GCD reveals how low-rank compositional structures can unlock this potential.
Instead of just pruning redundant tokens, ST-SimDiff dramatically cuts MLLM video processing costs by intelligently preserving tokens representing *changes* in the video.
