From Token Importance to Conditional Removability: Rethinking Visual Token Pruning in Multimodal Large Language Models

Shengli He, Yongchao Liang, Roumeng He +5

Training-free visual-token pruning often uses token importance, redundancy, or related selection criteria as proxies for safe removal. We show that these signals alone do not fully…