Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference 事件

Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference arXiv:2603.29002v3 Announce Type: replace-cross Abstract: Modern large language models (LLMs) increasingly depends on efficient long-context processing and generation mechanisms, including sparse attention, retrieval-augmented generation (RAG), and compressed contextual memory, to support complex reasoning. We show that these optimizations can be unified into a four-step memory processing pipeline: Prepare M