AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The WORTH Benchmark is proposed: models read original mystery narratives without clue annotations, autonomously select key clue sentences, identify case participants, and explain their reasoning process, and it is suggested that not-fully-cooperative informational relationships may influence evidence selection and judg...
SCOPE is a training-free sparse attention framework that combines 3D-RoPE-aligned key subspace clustering with online per-head Top-$k$ estimation for efficient video-DiT inference and consistently outperforms existing training-free baselines in both fidelity and latency.
As audio-visual generative models evolve into world simulators, cross-modal synchronization stands as a critical proxy for assessing the consistency of world dynamics and causality in generated content. However, existing evaluation metrics presume structural correctness, reducing synchronization to mere temporal alignm...
A causal interpretability framework is introduced that reveals that the tokens encoding semantics at the input need not be those that maintain them during generation, but also provides a causal view of internal mechanisms in diffusion transformers.
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