RAG / 检索增强生成

Rescuing the Unpoisoned: Efficient Defense against Knowledge Corruption Attacks on RAG Systems

Minseok Kim, Hankook Lee, Hyungjoon Koo

机构 * Sungkyunkwan University（成均馆大学） 纠错

专题命中 检索器与排序 ：RAG(title,abstract)；retrieval-augmented generation(abstract)；retriever(abstract)；分类 cs.IR、cs.AI

Comments 15 pages, 7 figures, 10 tables. To appear in the Proceedings of the 2025 Annual Computer Security Applications Conference (ACSAC)

Efficient Test-Time Retrieval Augmented Generation

Hailong Yin, Bin Zhu, Jingjing Chen, Chong-Wah Ngo

机构 * Fudan University（复旦大学） ； Singapore Management University（新加坡国立大学） ； Institute for Clarity in Documentation（文档清晰研究所） ； Inria Paris-Rocquencourt（巴黎-罗quentourt研究所） ； Rajiv Gandhi University（拉贾·甘地大学） ； Tsinghua University（清华大学） ； Palmer Research Laboratories（帕勒实验室） 纠错

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

RAGSmith: A Framework for Finding the Optimal Composition of Retrieval-Augmented Generation Methods Across Datasets

Muhammed Yusuf Kartal, Suha Kagan Kose, Korhan Sevinç, Burak Aktas

机构 * TOBB University of Economics and Technology（托布卡大学经济与技术学院） ； Roketsan Inc.（罗克特兰公司） 纠错

专题命中 检索器与排序 ：retrieval-augmented generation(title,abstract)；RAG(abstract)；分类 cs.IR、cs.CL、cs.AI

Comments 45 pages

Evaluating Cultural Knowledge Processing in Large Language Models: A Cognitive Benchmarking Framework Integrating Retrieval-Augmented Generation

Hung-Shin Lee, Chen-Chi Chang, Ching-Yuan Chen, Yun-Hsiang Hsu

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

Comments This paper has been accepted by The Electronic Library, and the full article is now available on Emerald Insight

Repairing Responsive Layout Failures Using Retrieval Augmented Generation

Tasmia Zerin, Moumita Asad, B. M. Mainul Hossain, Kazi Sakib

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

Comments Accepted at the 41st IEEE International Conference on Software Maintenance and Evolution 2025 (ICSME'25)

Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search

Mengzhao Wang, Boyu Tan, Yunjun Gao, Hai Jin, Yingfeng Zhang, Xiangyu Ke, Xiaoliang Xu, Yifan Zhu

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)；vector search(abstract)；分类 cs.DB

Trove: A Flexible Toolkit for Dense Retrieval

Reza Esfandiarpoor, Max Zuo, Stephen H. Bach

专题命中 检索器与排序 ：dense retrieval(title)；分类 cs.IR、cs.AI

DeepSpecs: Expert-Level Questions Answering in 5G

Aman Ganapathy Manvattira, Yifei Xu, Ziyue Dang, Songwu Lu

机构 * University of California, Los Angeles（加州大学洛杉矶分校） 纠错

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL、cs.AI

STAF: Leveraging LLMs for Automated Attack Tree-Based Security Test Generation

Tanmay Khule, Stefan Marksteiner, Jose Alguindigue, Hannes Fuchs, Sebastian Fischmeister, Apurva Narayan

机构 * Department of Systems Design Engineering, University of Waterloo, ON Canada（滑铁卢大学系统设计工程系） ； Smart Calibration and Virtual Testing Department, AVL List GmbH, Graz, Austria（AVL List GmbH智能校准与虚拟测试部门） ； Department of Computer Science, Western University, London, ON, Canada（温哥华大学计算机科学系） 纠错

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments 18 pages, 2 figures, accepted for 23rd escar Europe (Nov 05-06, 2025, Frankfurt, Germany)

Journal ref 23rd escar Europe : The World's Leading Automotive Cyber Security Conference 2025

Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports

Yeawon Lee, Christopher C. Yang, Chia-Hsuan Chang, Grace Lu-Yao

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.AI

GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration

Xin Li, Qizhi Chu, Yubin Chen, Yang Liu, Yaoqi Liu, Zekai Yu, Weize Chen, Chen Qian, Chuan Shi, Cheng Yang

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； The Chinese University of Hong Kong（香港中文大学） ； Tsinghua University（清华大学） 纠错

专题命中 检索器与排序 ：knowledge retrieval(abstract)；分类 cs.CL、cs.AI

ExplicitLM: Decoupling Knowledge from Parameters via Explicit Memory Banks

Chengzhang Yu, Zening Lu, Chenyang Zheng, Chiyue Wang, Yiming Zhang, Zhanpeng Jin

机构 * South China University of Technology（南方科技大学） ； University of Science and Technology of China（中国科学技术大学） ； Hefei Institutes of Physical Science（合肥物理科学研究院） 纠错

专题命中 检索器与排序 ：RAG(abstract)；分类 cs.AI

Comments 12pages, 4figures

ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval

Ahmed Masry, Megh Thakkar, Patrice Bechard, Sathwik Tejaswi Madhusudhan, Rabiul Awal, Shambhavi Mishra, Akshay Kalkunte Suresh, Srivatsava Daruru, Enamul Hoque, Spandana Gella, Torsten Scholak, Sai Rajeswar

机构 * ServiceNow ； York University（约克大学） ； MILA - Quebec AI Institute（魁北克人工智能研究所） ； Université de Montréal（蒙特利尔大学） ； École de technologie supérieure（卓越工程学院） 纠错

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；分类 cs.CL

REaR: Retrieve, Expand and Refine for Effective Multitable Retrieval

Rishita Agarwal, Himanshu Singhal, Peter Baile Chen, Manan Roy Choudhury, Dan Roth, Vivek Gupta

专题命中 检索器与排序 ：retriever(abstract)；分类 cs.IR

Comments 13 pages, 2 figures, 8 tables

KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems

Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen

机构 * Duke University（杜克大学） ； MIT（麻省理工学院） ； NVIDIA（英伟达） 纠错

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；分类 cs.AI

Comments Accepted for publication in NeurIPS2025. Code is available at \url{https://github.com/FastMAS/KVCOMM}

Towards LLM-Powered Task-Aware Retrieval of Scientific Workflows for Galaxy

Shamse Tasnim Cynthia, Banani Roy

专题命中 检索器与排序 ：vector search(abstract)