RAG / 检索增强生成

DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation

Hanghui Guo, Jia Zhu, Shimin Di, Weijie Shi, Zhangze Chen, Jiajie Xu

机构 * Zhejiang Key Laboratory of Intelligent Education Technology and Application, Zhejiang Normal University（浙江智能教育技术与应用重点实验室，浙江师范大学） ； School of Computer Science and Technology, Zhejiang Normal University（浙江师范大学计算机科学与技术学院） ； School of Computer Science and Engineering, Southeast University（东南大学计算机科学与工程学院） ； Department of Computer Science and Engineering, Hong Kong University of Science and Technology（香港科技大学计算机科学与工程系） ； School of Computer Science and Technology, Soochow University（苏州大学计算机科学与技术学院） 纠错

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

Comments Accepted to ACL2025 Main

Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs

Mohamed Abdelmagied, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash

机构 * Social Computing Group, Faculty of Computer Science, University of Duisburg-Essen（社会计算组、计算机科学学院、杜伊斯堡- Essen大学） 纠错

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

Comments Accepted at EMOOCs 2025

XRAG: Cross-lingual Retrieval-Augmented Generation

Wei Liu, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber

机构 * Heidelberg Institute for Theoretical Studies gGmbH（海德堡理论研究所） ； Amazon AGI（亚马逊人工智能研究院） 纠错

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

Enhancing Thyroid Cytology Diagnosis with RAG-Optimized LLMs and Pa-thology Foundation Models

Hussien Al-Asi, Jordan P Reynolds, Shweta Agarwal, Bryan J Dangott, Aziza Nassar, Zeynettin Akkus

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

Towards Requirements Engineering for RAG Systems

Tor Sporsem, Rasmus Ulfsnes

机构 * SINTEF & NTNU（SINTEF与NTNU） 纠错

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

Comments Accepted to EASE 2025, 17-20 June, Istanbul, Turkey

LLM-Independent Adaptive RAG: Let the Question Speak for Itself

Maria Marina, Nikolay Ivanov, Sergey Pletenev, Mikhail Salnikov, Daria Galimzianova, Nikita Krayko, Vasily Konovalov, Alexander Panchenko, Viktor Moskvoretskii

机构 * Skoltech（斯克里普切夫斯基技术大学） ； AIRI（人工智能研究所） ； HSE University（俄罗斯高等经济大学） ； MTS AI（MTS人工智能） ； MIPT（莫斯科物理技术学院） 纠错

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

Comments 11 pages, 5 figures, 2 tables

Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use

Justin Ho, Alexandra Colby, William Fisher

机构 * Harvard Business School（哈佛商学院） ； Harvard Law School（哈佛法学院） 纠错

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

Comments Submitted to the 7th Workshop on Automated Semantic Analysis of Information in Legal Text. 8 pages, 5 Figures

KAP: MLLM-assisted OCR Text Enhancement for Hybrid Retrieval in Chinese Non-Narrative Documents

Hsin-Ling Hsu, Ping-Sheng Lin, Jing-Di Lin, Jengnan Tzeng

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

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation

Qianren Mao, Qili Zhang, Hanwen Hao, Zhentao Han, Runhua Xu, Weifeng Jiang, Qi Hu, Zhijun Chen, Tyler Zhou, Bo Li, Yangqiu Song, Jin Dong, Jianxin Li, Philip S. Yu

机构 * Zhongguancun Laboratory（中关村实验室） ； School of Computer Science and Engineering, Beihang University（北京航空航天大学计算机科学与工程学院） ； Nanyang Technological University（南洋理工大学） ； Hong Kong University of Science and Technology（香港科技大学） ； Beijing Academy of Blockchain and Edge Computing（北京区块链与边缘计算研究院） ； Department of Computer Science, University of Illinois（伊利诺伊大学计算机科学系） 纠错

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

Synergizing RAG and Reasoning: A Systematic Review

Yunfan Gao, Yun Xiong, Yijie Zhong, Yuxi Bi, Ming Xue, Haofen Wang

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

SCRAG: Social Computing-Based Retrieval Augmented Generation for Community Response Forecasting in Social Media Environments

Dachun Sun, You Lyu, Jinning Li, Yizhuo Chen, Tianshi Wang, Tomoyoshi Kimura, Tarek Abdelzaher

机构 * Department of Computer Science University of Illinois Urbana-Champaign（计算机科学系伊利诺伊大学厄巴纳-香槟分校） 纠错

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

LLM-assisted Graph-RAG Information Extraction from IFC Data

Sima Iranmanesh, Hadeel Saadany, Edlira Vakaj

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

Comments 2025 European Conference on Computing in Construction

Sufficient Context: A New Lens on Retrieval Augmented Generation Systems

Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian

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

Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization

Adithya Pratapa, Teruko Mitamura

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

Shared Disk KV Cache Management for Efficient Multi-Instance Inference in RAG-Powered LLMs

Hyungwoo Lee, Kihyun Kim, Jinwoo Kim, Jungmin So, Myung-Hoon Cha, Hong-Yeon Kim, James J. Kim, Youngjae Kim

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

AutoStyle-TTS: Retrieval-Augmented Generation based Automatic Style Matching Text-to-Speech Synthesis

Dan Luo, Chengyuan Ma, Weiqin Li, Jun Wang, Wei Chen, Zhiyong Wu

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

Comments accepted by ICME25

Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation

Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl

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

Comments Accepted at the RecSoGood 2024 Workshop co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024)

Journal ref Springer Communications in Computer and Information Science, vol 2470, 2025

UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation

Yuxuan Chen, Dewen Guo, Sen Mei, Xinze Li, Hao Chen, Yishan Li, Yixuan Wang, Chaoyue Tang, Ruobing Wang, Dingjun Wu, Yukun Yan, Zhenghao Liu, Shi Yu, Zhiyuan Liu, Maosong Sun

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

Classifying Peace in Global Media Using RAG and Intergroup Reciprocity

K. Lian, L. S. Liebovitch, M. Wild, H. West, P. T. Coleman, F. Chen, E. Kimani, K. Sieck

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

Comments 6 pages, 1 figure

Journal ref 2025 59th Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, USA, 2025, pp. 1-6

PrefRAG: Preference-Driven Multi-Source Retrieval Augmented Generation

Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Jie Tang

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

Comments 33 pages, 5 figures, 28 tables

DeepNote: Note-Centric Deep Retrieval-Augmented Generation

Ruobing Wang, Qingfei Zhao, Yukun Yan, Daren Zha, Yuxuan Chen, Shi Yu, Zhenghao Liu, Yixuan Wang, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun

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

Comments 28 pages, 6 figures, 21 tables

HyperRAG: Enhancing Quality-Efficiency Tradeoffs in Retrieval-Augmented Generation with Reranker KV-Cache Reuse

Yuwei An, Yihua Cheng, Seo Jin Park, Junchen Jiang

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

Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors

Yuefeng Peng, Junda Wang, Hong Yu, Amir Houmansadr

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

RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs

Yuan Li, Jun Hu, Jiaxin Jiang, Zemin Liu, Bryan Hooi, Bingsheng He

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

PersonaAI: Leveraging Retrieval-Augmented Generation and Personalized Context for AI-Driven Digital Avatars

Elvis Kimara, Kunle S. Oguntoye, Jian Sun

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

Retrieval Augmented Generation for Topic Modeling in Organizational Research: An Introduction with Empirical Demonstration

Gerion Spielberger, Florian M. Artinger, Jochen Reb, Rudolf Kerschreiter

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

Comments 30 pages, 4 figures

Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation

Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergul Aydore

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

Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation

Linhai Zhang, Ziyang Gao, Deyu Zhou, Yulan He

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

Inference Scaling for Long-Context Retrieval Augmented Generation

Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky

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

Comments ICLR 2025

InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales

Zhepei Wei, Wei-Lin Chen, Yu Meng

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

Comments ICLR 2025. Code: https://github.com/weizhepei/InstructRAG