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From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs

arXiv:2606.09508v1 Announce Type: new Abstract: Existing sparse attention and KV cache compression methods for long-context LLM inference typically apply fixed sparsity patterns or uniform budgets across all attention heads, overlooking the substantial variation in attention behavior among heads and contexts. We observe two distinct entropy patterns among attention heads: Rigid Heads, whose entropy stays near zero across input segments, and Dynamic Heads, whose entropy fluctuates...

arXiv CS 1d ago

Fairness-Aware and Latency-Controllable Scheduling for Chunked-Prefill LLM Serving

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FreeStreamGS: Online Feed-forward 3D Gaussian Splatting from Unposed Streaming Inputs

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Folding Beijing

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Hacker News 10d ago

McCullum 'hopeful' of Archer return as he hails Gay's 'super-impressive' debut

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Human-Like Neural Nets by Catapulting

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Raphael Lets Loose

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Rushing from pilates to spin? Exercise doesn't have to be exhausting or pricey

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Honor Magic V6 review: A mechanical marvel

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Engadget 9h ago