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Hao-Yun Jiang

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#artificial intelligence Conference Aug 2026

CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration

This work discovers that certain attention heads exhibit sequential consistency in their attention patterns, which can be persistently identified using a coefficient-of-variation-based algorithm, and proposes CateKV, a hybrid KV cache method that retains only critical token information for consistent heads, thereby red...

Hao-Yun Jiang, Hao-Lin Li, Jian-Wei Zhang et al. · 2 citations
#natural language process... Preprint Aug 2026

Ripple-Pivot Search: Active Parallel Decoding for Diffusion Large Language Models

RPS is proposed, a novel training-free decoding method that seeks mid-entropy positions as promising candidate pivots (where to decode), and determines their token assignment that yields the greatest downstream benefit via lookahead evaluation (what to decode).

Yu-Shi Ye, Xu Chen, Hao-Yun Jiang et al. · 1 citation

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