AI 大模型

RAG / 检索增强生成

检索增强生成、向量检索、知识库问答和面向大模型的搜索系统。

2025-07-31 至 2025-07-31 共收录 3 篇信号源：cs.IR, cs.CL, cs.AI, cs.DB

1. 检索器与排序 2 篇

2505.08450 2025-07-31 cs.CL 85%

IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation

Kazuki Hayashi, Hidetaka Kamigaito, Shinya Kouda, Taro Watanabe

机构 * Nara Institute of Science and Technology（奈良科学技術研究所）； TDSE Inc.（TDSE公司）

专题命中检索器与排序：retrieval augmented generation(title)；retrieval-augmented generation(abstract)；RAG(abstract)；dense retrieval(abstract)

2407.18044 2025-07-31 cs.LG 85%

The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation for Healthcare QA

Eric Yang, Jonathan Amar, Jong Ha Lee, Bhawesh Kumar, Yugang Jia

机构 * Verily Life Sciences（Verily 生物科技）

专题命中检索器与排序：retrieval-augmented generation(title,abstract)；retrieval augmented generation(abstract)；RAG(abstract)

Comments 27 pages

2. 图谱与结构化RAG 1 篇

2504.04858 2025-07-31 cs.AI cs.LG 79%

Don't Lag, RAG: Training-Free Adversarial Detection Using RAG

Roie Kazoom, Raz Lapid, Moshe Sipper, Ofer Hadar

机构 * Electrical and Computer Engineering, Ben Gurion University, Beer Sheba 84105, Israel（电子与计算机工程系，本· Gurion 大学）； Computer Science, Ben Gurion University, Beer Sheba 84105, Israel（计算机科学系，本· Gurion 大学）

专题命中图谱与结构化RAG ：RAG(title)；retrieval-augmented generation(abstract)；分类 cs.AI

Comments Accepted at VecDB @ ICML 2025