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)

A Graph-based RAG for Energy Efficiency Question Answering

Riccardo Campi, Nicolò Oreste Pinciroli Vago, Mathyas Giudici, Pablo Barrachina Rodriguez-Guisado, Marco Brambilla, Piero Fraternali

机构 * Politecnico di Milano, DEIB Department（米兰Politecnico大学DEIB部门） ； Voltiva Energy（Voltiva能源公司） 纠错

专题命中 知识库问答 ：RAG(title,abstract)；retrieval augmented generation(abstract)；分类 cs.IR、cs.CL、cs.AI

Journal ref Verma, H., Bozzon, A., Mauri, A., Yang, J. (eds) Web Engineering. ICWE 2025. Lecture Notes in Computer Science, vol 15749. Springer, Cham

ToM: Leveraging Tree-oriented MapReduce for Long-Context Reasoning in Large Language Models

Jiani Guo, Zuchao Li, Jie Wu, Qianren Wang, Yun Li, Lefei Zhang, Hai Zhao, Yujiu Yang

机构 * School of Computer Science, Wuhan University, Wuhan, China（武汉大学计算机学院） ； School of Artificial Intelligence, Wuhan University, Wuhan, China（武汉大学人工智能学院） ； Tsinghua University（清华大学） ； Cognitive AI Lab（认知人工智能实验室） ； School of Computer Science, Shanghai Jiao Tong University, Shanghai, China（上海交通大学计算机学院） 纠错

专题命中 长文档RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Comments EMNLP 2025 Main Conference

PROPEX-RAG: Enhanced GraphRAG using Prompt-Driven Prompt Execution

Tejas Sarnaik, Manan Shah, Ravi Hegde

机构 * Indian Institute of Technology, Gandhinagar, Gujarat, India（印度理工学院冈丁加尔分校，古吉拉特邦，印度） 纠错

专题命中 图谱与结构化RAG ：RAG(title,abstract)；retrieval-augmented generation(abstract)

Comments Accepted in PReMI 2025

Mafoko: Structuring and Building Open Multilingual Terminologies for South African NLP

Vukosi Marivate, Isheanesu Dzingirai, Fiskani Banda, Richard Lastrucci, Thapelo Sindane, Keabetswe Madumo, Kayode Olaleye, Abiodun Modupe, Unarine Netshifhefhe, Herkulaas Combrink, Mohlatlego Nakeng, Matome Ledwaba

机构 * Data Science for Social Impact, Dept. of Computer Science, University of Pretoria（南非普里尼亚大学计算机科学系数据科学与社会影响研究中心） ； AfriDSAI, University of Pretoria（南非普里尼亚大学非洲数据科学与人工智能研究所） ； Lelapa AI（莱拉帕人工智能） ； Economics and Management Sciences, University of the Free State（南非自由州大学经济与管理科学系） ； Interdisciplinary Centre for Digital Futures, University of the Free State（南非自由州大学跨学科数字未来研究中心） 纠错

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

Comments Accepted for Sixth Workshop on Resources for African Indigenous Languages (RAIL) 2025

STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack

Shashank Kirtania, Naman Gupta, Priyanshu Gupta, Krishna Kariya, Sumit Gulwani, Arun Iyer, Suresh Parthasarathy, Arjun Radhakrishna, Sriram K. Rajamani, Gustavo Soares

机构 * Microsoft（微软） ； Microsoft Research India（微软印度研究院） 纠错

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

Journal ref Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track 2588-2606

OpinioRAG: Towards Generating User-Centric Opinion Highlights from Large-scale Online Reviews

Mir Tafseer Nayeem, Davood Rafiei

专题命中 图谱与结构化RAG ：RAG(abstract)；分类 cs.IR、cs.CL、cs.AI

Comments COLM 2025

Vote-in-Context: Turning VLMs into Zero-Shot Rank Fusers

Mohamed Eltahir, Ali Habibullah, Lama Ayash, Tanveer Hussain, Naeemullah Khan

机构 * King Abdullah University of Science and Technology (KAUST)（卡布斯大学） ； King Khalid University (KKU)（国王 Khalid 大学） ； Edge Hill University（埃德希尔大学） 纠错

专题命中 多模态RAG ：retriever(abstract)；分类 cs.IR

Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments

Yifan Liu, Qianfeng Wen, Jiazhou Liang, Mark Zhao, Justin Cui, Anton Korikov, Armin Toroghi, Junyoung Kim, Scott Sanner

专题命中 多模态RAG ：dense retrieval(abstract)；分类 cs.IR

Comments 16 pages,20 figures

"Don't Teach Minerva": Guiding LLMs Through Complex Syntax for Faithful Latin Translation with RAG

Sergio Torres Aguilar

专题命中 RAG评测 ：RAG(title,abstract)；分类 cs.CL

RepoScope: Leveraging Call Chain-Aware Multi-View Context for Repository-Level Code Generation

Yang Liu, Li Zhang, Fang Liu, Zhuohang Wang, Donglin Wei, Zhishuo Yang, Kechi Zhang, Jia Li, Lin Shi

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments Accepted by ICSE 2026

PredicateFix: Repairing Static Analysis Alerts with Bridging Predicates

Yuan-An Xiao, Weixuan Wang, Dong Liu, Junwei Zhou, Shengyu Cheng, Yingfei Xiong

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments 13 pages, 5 figures; accepted for ICSE 2026

Large Language Models as Medical Codes Selectors: a benchmark using the International Classification of Primary Care

Vinicius Anjos de Almeida, Vinicius de Camargo, Raquel Gómez-Bravo, Egbert van der Haring, Kees van Boven, Marcelo Finger, Luis Fernandez Lopez

机构 * Medical School, University of São Paulo（圣保罗大学医学院） ； University of São Paulo（圣保罗大学） ； Department of Epidemiology, School of Public Health, University of São Paulo（圣保罗大学流行病学系） ； Rehaklinik, Centre Hospitalier Neuro-psychiatrique (CHNP)（康复诊所，神经精神病中心（CHNP）） ； Radboud University（拉德堡德大学） ； Department of Primary and Community Care, Radboud University（初级与社区护理系，拉德堡德大学） ； Institute of Mathematics and Statistics, University of Sao Paulo（数学与统计学研究所，圣保罗大学） 纠错

专题命中 RAG评测 ：retriever(abstract)；分类 cs.CL

Comments Accepted at NeurIPS 2025 as a poster presentation in The Second Workshop on GenAI for Health: Potential, Trust, and Policy Compliance (https://openreview.net/forum?id=Kl7KZwJFEG). 33 pages, 10 figures (including appendix), 15 tables (including appendix). To be submitted to peer-reviewed journal. For associated code repository, see https://github.com/almeidava93/llm-as-code-selectors-paper

GDPR-Bench-Android: A Benchmark for Evaluating Automated GDPR Compliance Detection in Android

Huaijin Ran, Haoyi Zhang, Xunzhu Tang

专题命中 RAG评测 ：RAG(abstract)