most citedFrom Prefix Cache to Fusion RAG Cache: Accelerating LLM Inference in Retrieval-Augmented Generation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2026

EGG: An Expert-Guided Agent Framework for Kernel Generation

Yaochen Han, Ke Fan, Hongxu Jiang +5

High-performance GPU kernels are critical for reducing the exponentially growing computational costs of large language models (LLMs), but their development heavily relies on manual…

cs.CL2026★ 1 cited

From Prefix Cache to Fusion RAG Cache: Accelerating LLM Inference in Retrieval-Augmented Generation

Jiahao Wang, Weiyu Xie, Mingxing Zhang +10

Retrieval-Augmented Generation enhances Large Language Models by integrating external knowledge, which reduces hallucinations but increases prompt length. This increase leads to hi…