RAG / 检索增强生成

ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research

Junyong Lin, Lu Dai, Ruiqian Han, Yijie Sui, Ruilin Wang, Xingliang Sun, Qinglin Wu, Min Feng, Hao Liu, Hui Xiong

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州）） ； Institute of Tibetan Plateau Research, Chinese Academy of Sciences（中国科学院青藏高原研究所） ； Lanzhou University（兰州大学） ； College of Resources and Environment, University of Chinese Academy of Sciences（中国科学院大学资源与环境学院） 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 KDD 2025 Accepted

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds

Yang Guo, Yutian Tao, Yifei Ming, Robert D. Nowak, Yingyu Liang

机构 * University of Wisconsin-Madison（威斯康星大学麦迪逊分校） ； Salesforce AI Research（Salesforce人工智能研究） ； The University of Hong Kong（香港大学） 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 Under Review

SAGE: A Framework of Precise Retrieval for RAG

Jintao Zhang, Guoliang Li, Jinyang Su

机构 * Department of Computer Science Tsinghua University（计算机科学系清华大学） 纠错

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

ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Qiuchen Wang, Ruixue Ding, Zehui Chen, Weiqi Wu, Shihang Wang, Pengjun Xie, Feng Zhao

机构 * MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, USTC（脑启发智能感知与认知联合实验室，中国科学技术大学） ； Tongyi Lab, Alibaba Group（通义实验室，阿里巴巴集团） ； Shanghai Jiao Tong University（上海交通大学） 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

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation

Taeho Hwang, Sukmin Cho, Soyeong Jeong, Hoyun Song, SeungYoon Han, Jong C. Park

机构 * School of Computing（计算机学院） ； Graduate School of AI（人工智能研究生院） ； Korea Advanced Institute of Science and Technology（韩国科学技术院） 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

Comments Findings of ACL 2025

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

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

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

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

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

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

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

Optimizing Retrieval-Augmented Generation of Medical Content for Spaced Repetition Learning

Jeremi I. Kaczmarek, Jakub Pokrywka, Krzysztof Biedalak, Grzegorz Kurzyp, Łukasz Grzybowski

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

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

Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng

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

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

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

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

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