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cs.DC2026
OLED-MoE: Accelerating MoE-Based dLLM Inference via Inter-Iteration Locality-Aware Expert Offloading
Jingyuan Xiao, Jiayue Wang, Yitao Hu +7
Semi-autoregressive diffusion large language models (dLLMs) improve decoding parallelism through iterative block-wise denoising, but scaling them with mixture-of-experts (MoE) laye…
cs.DC2026
PatchKV: Efficient KV Cache Recovery for Dynamically Edited LLM Contexts
Guotao Yang, Rui Guo, Siwei He +3
Long-running LLM agent workflows often revise interior context spans while retaining long suffixes. Although suffix tokens remain unchanged, altered causal histories and rotary pos…
cs.DC2026
RAC: Reference-Aware Activation Compression for Communication-Efficient Split LLM Inference
Guotao Yang, Mingxi Zhao, Haopeng Li +4
Large language model (LLM) agents repeatedly process long, privacy-sensitive contexts, while cloud-only deployment exposes user data beyond the trusted endpoint and fully local dep…