Author

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 reducing KV cache size and computational overhead.

Hao-Yun Jiang, Hao-Lin Li, Jian-Wei Zhang et al. · International Conference on... · 2 citations

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).

Yushi Ye, Xu Chen, Hao-Yun Jiang et al. · 0 citations