3 papers
cs.IR2026
Tail-Aware Adaptive-k: Query-Adaptive Context Selection for Retrieval-Augmented Generation
Ziyu Song, Jiaming Fang, Kuangyu Li +2
Adaptive context selection is critical for retrieval-augmented generation (RAG) systems, as fixed Top-K retrieval fails under query-dependent and heavy-tailed similarity distributi…
cs.CR2025
DisarmRAG: Stealthy Retriever-Centric Poisoning to Disable Self-Correction in Retrieval-Augmented Generation (Extended Version)
Yanbo Dai, Zhenlan Ji, Zongjie Li +2
Retrieval-Augmented Generation (RAG) has become a standard approach for improving the reliability of large language models (LLMs). Prior work demonstrates the vulnerability of RAG…
cs.AR2025
Large Processor Chip Model
Kaiyan Chang, Mingzhi Chen, Yunji Chen +40
Computer System Architecture serves as a crucial bridge between software applications and the underlying hardware, encompassing components like compilers, CPUs, coprocessors, and R…