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Dispatch-Aware Ragged Attention for Pruned Vision Transformers

BACKGROUND
1 SIGNALFIRST DETECTED 21 April 2026
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26 Mar
Scaling Attention via Feature Sparsity

arXiv:2603.22300v1 Announce Type: cross Abstract: Scaling Transformers to ultra-long contexts is bottlenecked by the $O(n^2 d)$ cost of self-attention. Existing methods reduce

REPORT · WHERE · ArXiv CS.AIOPEN STORY
9 Sept
Damage-Aware Bandit Pruning for Vision and Language Transformers

arXiv:2609.05448v1 Announce Type: new Abstract: Structured post-training pruning of transformers requires selecting complete functional units whose suppression causes limited

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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