research
FLoC reduces video AI token load by 50%+ without retraining using facility location algorithm
Researchers propose FLoC, a training-free visual token compression framework that selects representative subsets of video tokens using facility location algorithms and lazy greedy optimization. The method works across any video-based large multimodal model without requiring retraining, achieving near-optimal compression ratios on benchmarks including Video-MME, MLVU, LongVideoBench, and EgoSchema.