RAG / 检索增强生成

Improving LLM Reliability with RAG in Religious Question-Answering: MufassirQAS

用RAG提升LLM可靠性：宗教问答中的MufassirQAS

Ahmet Yusuf Alan, Enis Karaarslan, Omer Aydin

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

AI总结 MufassirQAS通过RAG方法提升LLM在宗教问答中的可靠性，提供透明和准确的回应。

HalluGraph: Auditable Hallucination Detection for Legal RAG Systems via Knowledge Graph Alignment

HalluGraph: 通过知识图谱对齐实现法律RAG系统的可审计性幻觉检测

Valentin Noël, Elimane Yassine Seidou, Charly Ken Capo-Chichi, Ghanem Amari

机构 * Devoteam 纠错

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

AI总结 HalluGraph通过知识图谱对齐技术，为法律RAG系统提供可审计的幻觉检测，实现高精度的实体定位和关系验证，提升法律应用场景的可靠性。

Comments 8 pages, 4 figures, under review

CARE-RAG - Clinical Assessment and Reasoning in RAG

CARE-RAG - 临床评估与推理中的RAG

Deepthi Potluri, Aby Mammen Mathew, Jeffrey B DeWitt, Alexander L. Rasgon, Yide Hao, Junyuan Hong, Ying Ding

机构 * Department of Computer Science（计算机科学系） ； University of Texas at Austin（德克萨斯大学奥斯汀分校） ； Behavioral Science and Psychiatry（行为科学与精神病学） ； Department of Statistics（统计学系） ； University of Michigan（密歇根大学） ； School of Information（信息学院） 纠错

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

AI总结 CARE-RAG研究了检索增强生成在临床环境中的推理能力，提出评估框架以确保推理的准确性和一致性。

Comments The Second Workshop on GenAI for Health: Potential, Trust, and Policy Compliance

Ontology Learning and Knowledge Graph Construction: A Comparison of Approaches and Their Impact on RAG Performance

Tiago da Cruz, Bernardo Tavares, Francisco Belo

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

Comments 12 pages, 8 Figures

TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG

Savini Kashmira, Jayanaka L. Dantanarayana, Joshua Brodsky, Ashish Mahendra, Yiping Kang, Krisztian Flautner, Lingjia Tang, Jason Mars

机构 * University of Michigan（密歇根大学） 纠错

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

Comments Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track

RAG-Stack: Co-Optimizing RAG Quality and Performance From the Vector Database Perspective

Wenqi Jiang

机构 * Systems Group, ETH Zurich（苏黎世联邦理工学院系统组） 纠错

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

SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG

Xiaonan Si, Meilin Zhu, Simeng Qin, Lijia Yu, Lijun Zhang, Shuaitong Liu, Xinfeng Li, Ranjie Duan, Yang Liu, Xiaojun Jia

机构 * Institute of Software Chinese Academy of Sciences Beijing China（中国科学院软件研究所） ； Key Laboratory of System Software (Chinese Academy of Sciences) and State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China（中国科学院系统软件重点实验室和计算机科学国家重点实验室） ； University of Chinese Academy of Sciences, Beijing, China（中国科学院大学） ； Northeast University China（东北大学） ； Institute of Ai For industries Nanjing China（人工智能产业研究院） ； Southwest University China（西南大学） ； Nanyang Technological University Singapore（新加坡南洋理工大学） ； Alibaba China（阿里巴巴（中国）） 纠错

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

Comments Accepted at NeurIPS 2025

SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context

Hairu Wang, Yuan Feng, Yukun Cao, Xike Xie, S Kevin Zhou

机构 * School of Computer Science, University of Science and Technology of China（中国科学技术大学计算机科学学院） ； School of Biomedical Engineering, USTC（USTC生物医学工程学院） ； Suzhou Institute for Advanced Reasearch, USTC（USTC苏州市先进研究所） 纠错

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

Multilevel Analysis of Cryptocurrency News using RAG Approach with Fine-Tuned Mistral Large Language Model

Bohdan M. Pavlyshenko

机构 * Ivan Franko National University of Lviv（弗拉基米尔·伊万诺维奇·帕瓦利申科国立大学） 纠错

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

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models

Yao Ge, Sudeshna Das, Yuting Guo, Abeed Sarker

机构 * Department of Biomedical Informatics, School of Medicine, Emory University（生物医学信息学系，医学院，埃默里大学） ； Department of Computer Science, Emory University（计算机科学系，埃默里大学） ； National Library of Medicine, National Institutes of Health（国家医学图书馆，国立卫生研究院） ； Department of Biomedical Engineering, Georgia Institute of Technology and Emory University（生物医学工程系，佐治亚理工学院和埃默里大学） 纠错

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

Comments 31 pages, 4 figures, 15 tables

Classification is a RAG problem: A case study on hate speech detection

Richard Willats, Josh Pennington, Aravind Mohan, Bertie Vidgen

机构 * Contextual AI 纠错

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

AquiLLM: a RAG Tool for Capturing Tacit Knowledge in Research Groups

Chandler Campbell, Bernie Boscoe, Tuan Do

机构 * Department of Computer Science Southern Oregon University Ashland OR, USA ； Physics \& Astronomy Department University of California, Los Angeles Los Angeles CA, USA 纠错

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

Comments Accepted to US Research Software Engineer Association (US-RSE) 2025

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Bernal Jiménez Gutiérrez, Yiheng Shu, Weijian Qi, Sizhe Zhou, Yu Su

机构 * The Ohio State University, Columbus, OH, USA（俄亥俄州立大学） ； University of Illinois Urbana-Champaign, IL, USA（伊利诺伊大学厄巴纳-香槟分校） 纠错

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

Comments ICML 2025. Code and data are available at: https://github.com/OSU-NLP-Group/HippoRAG

Path Pooling: Training-Free Structure Enhancement for Efficient Knowledge Graph Retrieval-Augmented Generation

Hairu Wang, Yuan Feng, Xike Xie, S Kevin Zhou

机构 * University of Science and Technology of China（中国科学技术大学） ； USTC（中国科学技术大学） ； Suzhou Institute for Advanced Reasearch, USTC（中国科学技术大学苏州研究院） 纠错

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

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing

Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen

机构 * Gaoling School of Artificial Intelligence（人工智能学院） ； Renmin University of China（中国人民大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

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

Comments Accepted by KDD 2025

SteLLA: A Structured Grading System Using LLMs with RAG

Hefei Qiu, Brian White, Ashley Ding, Reinaldo Costa, Ali Hachem, Wei Ding, Ping Chen

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

Journal ref 2024 IEEE International Conference on Big Data (BigData)

A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation

Xujie Yuan, Yongxu Liu, Shimin Di, Shiwen Wu, Libin Zheng, Rui Meng, Lei Chen, Xiaofang Zhou, Jian Yin

机构 * SYSU（南方科技大学） ； PolyU ； HKUST（香港科技大学） ； BNU-HKBU UIC（北京师范大学-香港浸会大学联合国际学院） ； HKUST(GZ)（香港科技大学（广州）） 纠错

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

Comments 9 pages, 2 figures, 19 tables

Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph

Deeksha Prahlad, Chanhee Lee, Dongha Kim, Hokeun Kim

机构 * Arizona State University（亚利桑那州立大学） 纠错

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

Comments To appear in the Companion Proceedings of the ACM Web Conference 2025 (WWW Companion '25)

Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization

Ryan C. Barron, Maksim E. Eren, Olga M. Serafimova, Cynthia Matuszek, Boian S. Alexandrov

机构 * Theoretical Division, Los Alamos National Laboratory（洛斯阿拉莫斯国家实验室理论部） ； CSEE, UMBC（UMBC计算机与工程系） ； Holland & Hart LLP（霍尔德与哈特律师事务所） 纠错

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

Comments 10 pages, 8 figures, 5 tables

Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs

Yingjian Chen, Feiyang Li, Xingyu Song, Tianxiao Li, Zixin Xu, Xiujie Chen, Issey Sukeda, Irene Li

机构 * The University of Tokyo（东京大学） ； NEC Laboratories America（NEC美国实验室） ； Dokkyo Medical University（多摩医学大学） ； Graduate School of Frontier Sciences, The University of Tokyo（东京大学前沿科学研究生院） 纠错

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

Comments 10 pages

SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph

Teng Lin, Yizhang Zhu, Yuyu Luo, Nan Tang

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

Pseudo-Knowledge Graph: Meta-Path Guided Retrieval and In-Graph Text for RAG-Equipped LLM

Yuxin Yang, Haoyang Wu, Tao Wang, Jia Yang, Hao Ma, Guojie Luo

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

A Socratic RAG Approach to Connect Natural Language Queries on Research Topics with Knowledge Organization Systems

Lew Lefton, Kexin Rong, Chinar Dankhara, Lila Ghemri, Firdous Kausar, A. Hannibal Hamdallahi

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

Comments 6 pages, 2 figures, AAAI 2025 Workshop on A Translational Institute for Knowledge Axiomatization

DynaGRAG | Exploring the Topology of Information for Advancing Language Understanding and Generation in Graph Retrieval-Augmented Generation

Karishma Thakrar

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

Tree-based RAG-Agent Recommendation System: A Case Study in Medical Test Data

Yahe Yang, Chengyue Huang

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

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs

Xiaqiang Tang, Jian Li, Nan Du, Sihong Xie

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

Comments AAAI 2025

G-RAG: Knowledge Expansion in Material Science

Radeen Mostafa, Mirza Nihal Baig, Mashaekh Tausif Ehsan, Jakir Hasan

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

Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports

Mohamed Sobhi Jabal, Pranav Warman, Jikai Zhang, Kartikeye Gupta, Ayush Jain, Maciej Mazurowski, Walter Wiggins, Kirti Magudia, Evan Calabrese

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

A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning

Ye Yuan, Chengwu Liu, Jingyang Yuan, Gongbo Sun, Siqi Li, Ming Zhang

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

Comments Technical report for 3rd prize in Task 1 of Meta CRAG KDD Cup 2024

Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting

Geethan Sannidhi, Sagar Srinivas Sakhinana, Venkataramana Runkana

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

Comments Paper was accepted at ACM KDD -2024 -- Undergraduate Consortium. Please find the link: https://kdd2024.kdd.org/undergraduate-consortium/