RAG / 检索增强生成

DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients

Yuxing Lu, Gecheng Fu, Wei Wu, Xukai Zhao, Sin Yee Goi, Jinzhuo Wang

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

Comments 32 pages, 5 figures, 5 tables

Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding

Sakhinana Sagar Srinivas, Akash Das, Shivam Gupta, Venkataramana Runkana

机构 * Tata Research Development（塔塔研究与发展中心） ； Design Center, Bangalore（班加罗尔设计中心） 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

Distributed Retrieval-Augmented Generation

Chenhao Xu, Longxiang Gao, Yuan Miao, Xi Zheng

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

Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation

Carlo Merola, Jaspinder Singh

机构 * Department of Computer Science and Engineering, University of Bologna（计算机科学与工程系，博洛尼亚大学） 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 13 pages, 2 figures, Second Workshop on Knowledge-Enhanced Information Retrieval, ECIR 2025

POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications

Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jian Wang, Jun Zhou

机构 * Ant Group（蚂蚁集团） 纠错

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

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents

Ryota Tanaka, Taichi Iki, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Jun Suzuki

机构 * NTT Human Informatics Laboratories, NTT Corporation（NTT公司人类信息学研究所） ； Tohoku University（东北大学） 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 Accepted by CVPR 2025; project page: https://vdocrag.github.io

ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses

Esmail Gumaan

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

Comments 30 pages, 4 figures

Improving RAG for Personalization with Author Features and Contrastive Examples

Mert Yazan, Suzan Verberne, Frederik Situmeang

机构 * Amsterdam University of Applied Sciences（阿姆斯特丹应用科学大学） ； Leiden University（莱顿大学） 纠错

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

Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization

Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi

机构 * IBM Research – Zurich（IBM研究院苏黎世分部） ； ETH Zürich（苏黎世联邦理工学院） 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

Journal ref Published in: Proceedings of 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, IOS Press, 392, 2024, pp. 2974 - 2982

RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving

Wenqi Jiang, Suvinay Subramanian, Cat Graves, Gustavo Alonso, Amir Yazdanbakhsh, Vidushi Dadu

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 16 pages, 19 figures, 4 tables

Tuning LLMs by RAG Principles: Towards LLM-native Memory

Jiale Wei, Shuchi Wu, Ruochen Liu, Xiang Ying, Jingbo Shang, Fangbo Tao

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

Improving RAG Retrieval via Propositional Content Extraction: a Speech Act Theory Approach

João Alberto de Oliveira Lima

机构 * University of Brasília（巴西利亚大学） ； Federal Senate of Brazil（巴西联邦参议院） 纠错

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

Comments 19 pages, 4 figures

SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback

Jingsheng Gao, Linxu Li, Weiyuan Li, Yuzhuo Fu, Bin Dai

机构 * Shanghai Jiao Tong University（上海交通大学） ； The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） 纠错

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

Beyond RAG: Task-Aware KV Cache Compression for Comprehensive Knowledge Reasoning

Giulio Corallo, Orion Weller, Fabio Petroni, Paolo Papotti

机构 * SAP Labs（思爱普实验室） ； EURECOM（欧洲通信研究院） ； Johns Hopkins University（约翰斯·霍普金斯大学） ； Samaya AI（萨马亚人工智能公司） 纠错

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

A Theory for Token-Level Harmonization in Retrieval-Augmented Generation

Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng

机构 * Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所） ； University of Chinese Academy of Sciences（中国科学院大学） 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 ICLR 2025

Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks

Pengfei He, Shaowei Wang, Shaiful Chowdhury, Tse-Hsun Chen

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

Comments 11 pages, 6 figures, 6 tables, accepted by SANER 2025

Political Events using RAG with LLMs

Muhammad Arslan, Saba Munawar, Christophe Cruz

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

Sustainable Digitalization of Business with Multi-Agent RAG and LLM

Muhammad Arslan, Saba Munawar, Christophe Cruz

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

PISCO: Pretty Simple Compression for Retrieval-Augmented Generation

Maxime Louis, Hervé Déjean, Stéphane Clinchant

机构 * NAVER LABS Europe（NAVER LABS欧洲） 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

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains

Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He

机构 * Emory University（埃默里大学） ； Amazon（亚马逊公司） 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 Accepted to NAACL 2025 main conference

Journal ref NAACL 2025

CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation

Hamza Landolsi, Kais Letaief, Nizar Taghouti, Ines Abdeljaoued-Tej

机构 * INETUM Tunisia（法国英迪堂突尼斯分公司） ； University of Carthage（迦太基大学） ； Institut Pasteur de Tunis（突尼斯巴斯德研究所） ； University of Tunis El Manar（突尼斯马纳尔大学） 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 14 pages, 5 Figures, 3 Tables

DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation

Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold

机构 * ETH Zurich（苏黎世联邦理工学院） ； University of Zurich（苏黎世大学） ； Swiss Finance Institute (SFI)（瑞士金融研究所） ； University of Electronic Science and Technology of China（电子科技大学） 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 NAACL 2025 Long

Accelerating Retrieval-Augmented Generation

Derrick Quinn, Mohammad Nouri, Neel Patel, John Salihu, Alireza Salemi, Sukhan Lee, Hamed Zamani, Mohammad Alian

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

PersianRAG: A Retrieval-Augmented Generation System for Persian Language

Hossein Hosseini, Mohammad Sobhan Zare, Amir Hossein Mohammadi, Arefeh Kazemi, Zahra Zojaji, Mohammad Ali Nematbakhsh

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

R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation

Fuda Ye, Shuangyin Li, Yongqi Zhang, Lei Chen

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 Accepted to EMNLP 2024 Findings

Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models

Cody Clop, Yannick Teglia

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

Comments 12 pages, 5 figures

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation

Guanting Dong, Xiaoshuai Song, Yutao Zhu, Runqi Qiao, Zhicheng Dou, Ji-Rong Wen

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 Working in progress

CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control

Huanshuo Liu, Hao Zhang, Zhijiang Guo, Jing Wang, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu

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 29 pages, 10 figures, 11 tables

Retrieval Augmented Generation-Based Incident Resolution Recommendation System for IT Support

Paulina Toro Isaza, Michael Nidd, Noah Zheutlin, Jae-wook Ahn, Chidansh Amitkumar Bhatt, Yu Deng, Ruchi Mahindru, Martin Franz, Hans Florian, Salim Roukos

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 7 pages, 3 figures, 6 tables

Graph Retrieval-Augmented Generation: A Survey

Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang

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 Ongoing work. Compared to the first version, several references have been added and a GitHub repository link has been provided