Preprint Open access
Beyond Selection: Token Parameterization for Extreme Visual Token Compression
Visual-token compression is effective for improving the efficiency of vision-language models, but under extreme compression budgets, token pruning can break visual grounding while learned resamplers increase parameter count, attention cost, and training complexity. We revisit compression through a token parameterizatio …