papers
Publications (2)
cs.CL2026
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…
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…