RAG / 检索增强生成

A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives

Pengyue Li, Sheng Wang, Hua Dai, Zhiyu Chen, Zhifeng Bao, Brian D. Davison

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

Reviewing Clinical Knowledge in Medical Large Language Models: Training and Beyond

Qiyuan Li, Haijiang Liu, Caicai Guo, Chao Gao, Deyu Chen, Meng Wang, Feng Gao, Frank van Harmelen, Jinguang Gu

机构 * School of Computer Science and Technology, Wuhan University of Science and Technology（计算机科学与技术学院，武汉科技大学） ； Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System（湖北省智能信息处理与实时工业系统重点实验室） ； School of Computer Science and Technology, Huazhong University of Science and Technology（计算机科学与技术学院，华中科技大学） ； School of Cyber Science and Engineering, Wuhan University（网络科学与工程学院，武汉大学） ； Department of Computer Science, Vrije Universiteit Amsterdam（计算机科学系，阿姆斯特丹自由大学） 纠错

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

Comments Accepted for publication in Knowledge-Based Systems. The arXiv version is the pre-peer-review preprint, and the final published version is not available here due to publisher policy

Journal ref Knowledge-Based Systems, 114215(2025)

Automated Generation of Curriculum-Aligned Multiple-Choice Questions for Malaysian Secondary Mathematics Using Generative AI

Rohaizah Abdul Wahid, Muhamad Said Nizamuddin Nadim, Suliana Sulaiman, Syahmi Akmal Shaharudin, Muhammad Danial Jupikil, Iqqwan Jasman Su Azlan Su

机构 * Fakulti Komputeran dan Meta-Teknologi (META), Universiti Pendidikan Sultan Idris（计算机与元技术学院（META），苏丹依德里斯教育大学） 纠错

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

Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin

Carolina Fortuna, Vid Hanžel, Blaž Bertalanič

机构 * 1 Department of Communication Systems, Jo z ef Stefan Institute, Slovenia ； Jozef Stefan Institute, Ljubljana, Slovenia 纠错

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

Comments Accepted at IEEE SmartGridComm'24

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy

Virgile Boraud, Yannis Bendi-Ouis, Paul Bernard, Xavier Hinaut

机构 * Mnemosyne Inria Bordeaux, France（Mnemosyne 国家信息与自动化技术研究院波尔多分校） 纠错

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

SpiritRAG: A Q&A System for Religion and Spirituality in the United Nations Archive

Yingqiang Gao, Fabian Winiger, Patrick Montjourides, Anastassia Shaitarova, Nianlong Gu, Simon Peng-Keller, Gerold Schneider

机构 * Linguistic Research Infrastructure（语言研究基础设施） ； University of Zurich（苏黎世大学） ； Faculty of Theology and the Study of Religion（神学与宗教研究学院） ； Institute of Education（教育研究所） 纠错

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

Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs

Travis Thompson, Seung-Hwan Lim, Paul Liu, Ruoying He, Dongkuan Xu

机构 * North Carolina State University（北卡罗来纳州立大学） ； Oak Ridge National Laboratory（奥本海默国家实验室） 纠错

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

Knowledge Graph Fusion with Large Language Models for Accurate, Explainable Manufacturing Process Planning

Danny Hoang, David Gorsich, Matthew P. Castanier, Farhad Imani

机构 * School of Mechanical, Aerospace, and Manufacturing Engineering University of Connecticut Storrs, Connecticut, USA（机械、航空航天与制造工程学院 美国康涅狄格大学 斯托尔斯分校） ； The United States Army Combat Capabilities Development Command Ground Vehicle Systems Center Warren, Michigan, USA（美国陆军作战能力发展司令部地面车辆系统中心 华伦，密歇根州，美国） 纠错

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

Context-Augmented Code Generation Using Programming Knowledge Graphs

Iman Saberi, Fatemeh Fard

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

Comments 20 pages, Conference

Large Language Models are Good Relational Learners

Fang Wu, Vijay Prakash Dwivedi, Jure Leskovec

机构 * Stanford University（斯坦福大学） 纠错

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

Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases

Teng Lin

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

LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction

Aishik Nagar, Viktor Schlegel, Thanh-Tung Nguyen, Hao Li, Yuping Wu, Kuluhan Binici, Stefan Winkler

机构 * ASUS Intelligent Cloud Services (AICS)（ASUS智能云服务） ； Imperial College London（伦敦帝国学院） ； University of Manchester（曼彻斯特大学） ； National University of Singapore（新加坡国立大学） 纠错

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

Comments 15 pages

Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting

Apollinaire Poli Nemkova, Sarath Chandra Lingareddy, Sagnik Ray Choudhury, Mark V. Albert

机构 * University of North Texas（北卡罗来纳大学达勒姆分校） 纠错

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

Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL

Jeffery L. Painter, Venkateswara Rao Chalamalasetti, Raymond Kassekert, Andrew Bate

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

Comments 15 pages, 3 tables, 5 figures

InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System

Zhiyuan Wen, Jiannong Cao, Zian Wang, Beichen Guo, Ruosong Yang, Shuaiqi Liu

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

Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web

Lars Krupp, Daniel Geißler, Peter Hevesi, Marco Hirsch, Paul Lukowicz, Jakob Karolus

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

AutoPsyC: Automatic Recognition of Psychodynamic Conflicts from Semi-structured Interviews with Large Language Models

Sayed Muddashir Hossain, Simon Ostermann, Patrick Gebhard, Cord Benecke, Josef van Genabith, Philipp Müller

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

Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs

Hang Luo, Jian Zhang, Chujun Li

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

Comments 18 pages, 3 figures, 3 tables

AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation

Fengyu Li, Yilin Li, Junhao Zhu, Lu Chen, Yanfei Zhang, Jia Zhou, Hui Zu, Jingwen Zhao, Yunjun Gao

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

PASemiQA: Plan-Assisted Agent for Question Answering on Semi-Structured Data with Text and Relational Information

Hansi Yang, Qi Zhang, Wei Jiang, Jianguo Li

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

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration

Zixiang Wang, Yinghao Zhu, Huiya Zhao, Xiaochen Zheng, Dehao Sui, Tianlong Wang, Wen Tang, Yasha Wang, Ewen Harrison, Chengwei Pan, Junyi Gao, Liantao Ma

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

Comments ACM TheWebConf 2025 Conference (WWW 2025) Research Track

Graphy'our Data: Towards End-to-End Modeling, Exploring and Generating Report from Raw Data

Longbin Lai, Changwei Luo, Yunkai Lou, Mingchen Ju, Zhengyi Yang

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

Comments 4 pages

Language Models are Few-Shot Graders

Chenyan Zhao, Mariana Silva, Seth Poulsen

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

From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

Ali Mohammadjafari, Anthony S. Maida, Raju Gottumukkala

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

Comments 15 pages, 5 figures, 5 tables

Knowledge Synthesis of Photosynthesis Research Using a Large Language Model

Seungri Yoon, Woosang Jeon, Sanghyeok Choi, Taehyeong Kim, Tae In Ahn

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

Comments 17 pages, 6 figures

Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph

Xujian Liang, Zhaoquan Gu

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

Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier

Yufei Shang, Yanrong Guo, Shijie Hao, Richang Hong

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

Comments 13 pages, 6 figures

CancerKG.ORG A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care

Michael Gubanov, Anna Pyayt, Aleksandra Karolak

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

Journal ref CIKM 2024, pp. 4497 - 4505

Human-Calibrated Automated Testing and Validation of Generative Language Models

Agus Sudjianto, Aijun Zhang, Srinivas Neppalli, Tarun Joshi, Michal Malohlava

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

Query Performance Explanation through Large Language Model for HTAP Systems

Haibo Xiu, Li Zhang, Tieying Zhang, Jun Yang, Jianjun Chen

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

Comments Submitted to ICDE 2025