AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A progress-aware speculative drafter that recurrently propagates an acoustic progress state across draft steps and feeds it back into audio cross-attention to guide token generation is proposed.
S$^2$Prune is proposed, a training-free pruning method that preserves spatial coverage while adapting token density to local image structure and achieves the highest average accuracy among the evaluated training-free pruning methods.
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