How Much Can We Prune? Exploring the Performance Limits of Visual Token Pruning.

arXiv:2610.23974v1 Announce Type: cross Abstract: Visual token pruning is increasingly used to reduce the memory and inference costs of vision-language models. Existing work has largely focused on designing method-specific selectors and demonstrating increment