IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models

IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models explores A training-free token pruning framework for large vision language models that quantifies token importance and uses efficient selection to reduce computational cost.. Commercial viability score: 7/10 in Vision Language Models.