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Rui Guo

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#machine learning Preprint Aug 2026

PatchKV: Efficient KV Cache Recovery for Dynamically Edited LLM Contexts

PatchKV, a profile-guided recovery system for suffix-preserving revisions, decomposes adjacent context versions into an exact prefix, an updated span, and an aligned suffix, and achieves a speedup in mean resume time-to-first-token over full suffix recomputation.

Guo-Tao Yang, Rui Guo, Si-Wei He et al. · 0 citations
Preprint Aug 2026

AsymSpec: Efficient Cloud-Edge Speculative Decoding over Asymmetric Networks

This work presents AsymSpec, which addresses uplink-gated verification and invalid dependent work with two corresponding mechanisms, and shows that AsymSpec delivers 2.82-28.03$\times the output-token throughput of the strongest baseline.

Guotao Yang, Hao Chen, Rui Guo et al. · 0 citations

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