CRAFT recursively merges video tokens with training-free similarity selection plus learnable gated fusion, retaining ~97% of average accuracy at 8x compression across six benchmarks.
Johnson and Joram Lindenstrauss
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CRAFT: Compression via Recursive Adaptive Fusion of Video Tokens for Vision-Language Models
CRAFT recursively merges video tokens with training-free similarity selection plus learnable gated fusion, retaining ~97% of average accuracy at 8x compression across six benchmarks.