ORBIS uses output-guided token reduction and DATM to achieve 2x higher token reduction than AsymRnR, with up to 4.5x speedup and 79.3% energy savings versus A100 GPU for video DiT models.
Bovik, Hamid R
2 Pith papers cite this work. Polarity classification is still indexing.
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CoDA chains clinically plausible acquisition, reconstruction, display, and delivery shifts to substantially degrade zero-shot performance of medical vision-language models, with a post-hoc token-space repair partially recovering accuracy.
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ORBIS: Output-Guided Token Reduction with Distribution-Aware Matching for Video Diffusion Acceleration
ORBIS uses output-guided token reduction and DATM to achieve 2x higher token reduction than AsymRnR, with up to 4.5x speedup and 79.3% energy savings versus A100 GPU for video DiT models.
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CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models
CoDA chains clinically plausible acquisition, reconstruction, display, and delivery shifts to substantially degrade zero-shot performance of medical vision-language models, with a post-hoc token-space repair partially recovering accuracy.