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CANS slashes inference latency by up to 50% in collaborative edge inference scenarios, revolutionizing how mobile devices optimize DNN partitions on-the-fly.
SwiftVR achieves real-time 1080p video restoration on consumer GPUs, a first in the field, while maintaining high perceptual quality and low inference costs.
Forget brittle graph-traversal generators: GRASP's plan-guided retrieval adaptively fuses graph and text for a 12% absolute improvement on SKB retrieval benchmarks.
LLMs can compress their reasoning by over 50% with minimal accuracy loss by selectively applying latent compression only to redundant steps.
