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A mobile MoE runtime that exploits the multi-token verification window of speculative decoding to decouple expert movement from single-token execution, enabling weight reuse, contiguous flash reads, and load-compute overlap.
EcoFrame is proposed, a training-free framework for low-overhead query-adaptive visual evidence scheduling that leverages the VLM's inference feedback to determine when to increase the frame budget and where to search for additional candidate evidence.
EchoCache is proposed, an energy-guided cross-modal caching framework for efficient A2V generation that leverages audio time-frequency energy as a saliency anchor to guide latent-level cache updates and further introduces a dynamic timestep-latent caching mechanism with quantized cache management for joint efficiency a...
This work proposes Token Radius Attention (TRA), a training-free framework that maps query entropy to an analytic token budget and converts it into a temporally decayed radius without explicit key ranking and achieves 1.05x speedup with competitive generation quality.
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