Shilin Shan
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126
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2026
OccamToken: Efficient VLM Inference with Training-Free and Budget-Adaptive Token Pruning
OccamToken introduces a training-free, adaptive token pruning framework that replaces fixed token budgets with relative evidence testing against a register-based reference, significantly improving VLM efficiency while maintaining high accuracy.
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Papers
cs.CVcs.AIRecentMay 28, 2026
OccamToken: Efficient VLM Inference with Training-Free and Budget-Adaptive Token Pruning
Geng Li, Guohao Chen, Ting Chen, Shilin Shan +5 more
OccamToken introduces a training-free, adaptive token pruning framework that replaces fixed token budgets with relative evidence testing against a register-based reference, significantly improving VLM…
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