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Si-Jie Song

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#natural language process... Preprint Sep 2026

CEDAR: Error-Bounded Residual Routing for Efficient Long-Context Attention

This work introduces Coarse-to-fine Error-aware Dynamic Attention Routing (CEDAR), a coarse-to-fine method that keeps the language model frozen while preserving global coverage and derives an output-error bound governed by within-chunk key/value dispersion and uses it to allocate a variable refinement budget.

Si-Yu Li, Dong Wang, Jie Zhou et al. · 0 citations