RAG / 检索增强生成

Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering

混合知识辩论：一种用于不完整知识图谱问答的鲁棒多智能体推理框架

Jilong Liu, Pengyang Shao, Wei Qin, Fei Liu, Yonghui Yang, Richang Hong

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

AI总结 本文提出DoM框架，通过多智能体辩论机制整合结构化和非结构化知识，解决不完整知识图谱问答中的知识互补性问题，并引入新数据集提升基准挑战性。

PersonaAgent with GraphRAG: Community-Aware Knowledge Graphs for Personalized LLM

具有图RAG的PersonaAgent：面向个性化LLM的社区感知知识图谱

Siqi Liang, Yudi Zhang, Yue Guo

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

AI总结 PersonaAgent结合图RAG技术，通过构建社区感知的知识图谱，提升个性化LLM在新闻分类、电影标签和产品评分任务中的性能。

Chatty-KG: A Multi-Agent AI System for On-Demand Conversational Question Answering over Knowledge Graphs

Chatty-KG：一种用于基于知识图谱的按需对话问答的多智能体AI系统

Reham Omar, Abdelghny Orogat, Ibrahim Abdelaziz, Omij Mangukiya, Panos Kalnis, Essam Mansour

机构 * Concordia University（康科德大学） ； IBM Research（IBM研究院） 纠错

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

AI总结 Chatty-KG通过多智能体系统实现基于知识图谱的对话问答，结合RAG检索与结构化执行，提升多轮问答的准确性和效率。

Comments This paper is accepted to SIGMOD 2026

Table Comprehension in Building Codes using Vision Language Models and Domain-Specific Fine-Tuning

利用视觉语言模型和领域特定微调进行建筑规范中的表格理解

Mohammad Aqib, Mohd Hamza, Ying Hei Chui, Qipei Mei

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

AI总结 本文研究了利用视觉语言模型和领域特定微调提取建筑规范中表格信息的方法，发现直接输入方法在准确性上优于间接输入方法，且微调后模型性能显著提升。

A Multidisciplinary Design and Optimization (MDO) Agent Driven by Large Language Models

由大型语言模型驱动的多学科设计与优化（MDO）代理

Bingkun Guo, Wentian Li, Xiaojian Liu, Jiaqi Luo, Zibin Yu, Dalong Dong, Shuyou Zhang, Yiming Zhang

机构 * State Key Laboratory of Fluid Power Transmission and Control（流体动力传动与控制国家重点实验室） ； School of Aeronautics and Astronautics（航空宇航科学与技术学院） ； China Ship Development and Design Center（船舶设计发展研究中心） 纠错

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

AI总结 由大型语言模型驱动的MDO代理通过参数建模、知识引导和智能协调实现机械设计的自动化与创新。

Automated Construction of Medical Indicator Knowledge Graphs Using Retrieval Augmented Large Language Models

Zhengda Wang, Daqian Shi, Jingyi Zhao, Xiaolei Diao, Xiongfeng Tang, Yanguo Qin

机构 * The second hospital of Jilin University Northeast Asia Active Aging Laboratory Jilin, China Email ； QMUL DERI \ Institute Of Health Informatics, Lonodn, UK Email ； QMUL School of Electronic Engineering \ Computer Science London, UK Email ； The second hospital of Jilin University College of Artificial Intelligence, \ University, Jilin, China Email 纠错

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

Comments 5 pages, 1 figure, 1 table. Accepted at AI4RWC@WI-IAT 2025

ReviewGraph: A Knowledge Graph Embedding Based Framework for Review Rating Prediction with Sentiment Features

A. J. W. de Vink, Natalia Amat-Lefort, Lifeng Han

机构 * LIACS, Leiden University（莱顿大学LIACS） ； LUMC, Leiden University（莱顿大学LUMC） 纠错

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

Comments Peer-reviewed and published version is in ICKG-2025 (The 16th IEEE International Conference on Knowledge Graphs, November 13-14, 2025, Limassol, Cyprus)

Views: a hardware-friendly graph database model for storing semantic information

Yanjun Yang, Adrian Wheeldon, Yihan Pan, Themis Prodromakis, Alex Serb

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

Knowledge Graph Analysis of Legal Understanding and Violations in LLMs

Abha Jha, Abel Salinas, Fred Morstatter

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

Large Language Models for Explainable Threat Intelligence

Tiago Dinis, Miguel Correia, Roger Tavares

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

Mafoko: Structuring and Building Open Multilingual Terminologies for South African NLP

Vukosi Marivate, Isheanesu Dzingirai, Fiskani Banda, Richard Lastrucci, Thapelo Sindane, Keabetswe Madumo, Kayode Olaleye, Abiodun Modupe, Unarine Netshifhefhe, Herkulaas Combrink, Mohlatlego Nakeng, Matome Ledwaba

机构 * Data Science for Social Impact, Dept. of Computer Science, University of Pretoria（南非普里尼亚大学计算机科学系数据科学与社会影响研究中心） ； AfriDSAI, University of Pretoria（南非普里尼亚大学非洲数据科学与人工智能研究所） ； Lelapa AI（莱拉帕人工智能） ； Economics and Management Sciences, University of the Free State（南非自由州大学经济与管理科学系） ； Interdisciplinary Centre for Digital Futures, University of the Free State（南非自由州大学跨学科数字未来研究中心） 纠错

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

Comments Accepted for Sixth Workshop on Resources for African Indigenous Languages (RAIL) 2025

STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack

Shashank Kirtania, Naman Gupta, Priyanshu Gupta, Krishna Kariya, Sumit Gulwani, Arun Iyer, Suresh Parthasarathy, Arjun Radhakrishna, Sriram K. Rajamani, Gustavo Soares

机构 * Microsoft（微软） ； Microsoft Research India（微软印度研究院） 纠错

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

Journal ref Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track 2588-2606

Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement

Aaditya Shukla, Sidney Knowles, Meenakshi Madugula, Dave Farris, Ryan Angilly, Santiago Pombo, Anbang Xu, Lu An, Abhinav Balasubramanian, Tan Yu, Jiaxiang Ren, Rama Akkiraju

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

Comments 20 pages, 5 figures, 5 tables. Presents MAPE-K control loop application to enterprise AI agent improvement with experimental validation on NVIDIA's NVInfo AI system

SignalLLM: A General-Purpose LLM Agent Framework for Automated Signal Processing

Junlong Ke, Qiying Hu, Shenghai Yuan, Yuecong Xu, Jianfei Yang

机构 * Department of Electronic Engineering, Tsinghua University（清华大学电子工程系） ； School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore（南洋理工大学电子与电气工程学院） ； MARS Lab, Nanyang Technological University, Singapore（南洋理工大学MARS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.AI

Comments 11 pages

AI-Enhanced Operator Assistance for UNICOS Applications

Bernard Tam, Jean-Charles Tournier, Fernando Varela Rodriguez

机构 * The University of Sydney（悉尼大学） 纠错

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

Comments Prepared as part of the CERN openlab programme 2025. Also available on Zenodo, a repository operated by CERN and co-funded by the European Union

The Last Dependency Crusade: Solving Python Dependency Conflicts with LLMs

Antony Bartlett, Cynthia Liem, Annibale Panichella

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

Comments Pre-print - Accepted at the first annual workshop on Agentic Software Engineering (AgenticSE) co-located with ASE'25

D-SMART: Enhancing LLM Dialogue Consistency via Dynamic Structured Memory And Reasoning Tree

Xiang Lei, Qin Li, Min Zhang, Min Zhang

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

Comments 8 pages, 6 figures (main content); 25 pages, 18 figures (total)

GraphRAG under Fire

Jiacheng Liang, Yuhui Wang, Changjiang Li, Rongyi Zhu, Tanqiu Jiang, Neil Gong, Ting Wang

机构 * Stony Brook University（石溪大学） ； Duke University（杜克大学） 纠错

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

Comments 13 pages. Accepted by IEEE Symposium on Security and Privacy 2026 (S&P 2026)

AgenticAD: A Specialized Multiagent System Framework for Holistic Alzheimer Disease Management

Adib Bazgir, Amir Habibdoust, Xing Song, Yuwen Zhang

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

LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language Models

Pouria Rouzrokh, Bardia Khosravi, Parsa Rouzrokh, Moein Shariatnia

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

Comments 31 pages, 5 figures, 5 tables

Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement

Zhaoyan Wang, Zheng Gao, Arogya Kharel, In-Young Ko

机构 * School of Computing KAIST Daejeon Republic of Korea（韩国国立庆尚大学计算机科学学院） ； School of Computer Science（计算机科学学院） ； School of Computing KAIST（韩国国立庆尚大学计算机科学学院） 纠错

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

Comments 14 pages

From "What to Eat?" to Perfect Recipe: ChefMind's Chain-of-Exploration for Ambiguous User Intent in Recipe Recommendation

Yu Fu, Linyue Cai, Ruoyu Wu, Yong Zhao

机构 * Sichuan University Department of Computer Science Shuangliu District, Chengdu City, Sichuan Province, China（四川大学计算机学院双流区，成都市，四川省，中国） 纠错

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

Comments 5 pages, 3 figures, submitted to icassp 2026

HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning

Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Liming Zhu, Wenjie Zhang

机构 * University of New South Wales（新南威尔士大学） ； Data61, CSIRO（Data61，CSIRO） 纠错

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

Comments Accepted by EMNLP2025 (Main Conference)

Redefining CX with Agentic AI: Minerva CQ Case Study

Garima Agrawal, Riccardo De Maria, Kiran Davuluri, Daniele Spera, Charlie Read, Cosimo Spera, Jack Garrett, Don Miller

机构 * Minerva CQ AI Research Division（Minerva CQ人工智能研究部） 纠错

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

Leveraging Large Language Models to Democratize Access to Costly Datasets for Academic Research

Julian Junyan Wang, Victor Xiaoqi Wang

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

Comments 58 pagegs, 5 figures, 5 tables

Fusing Knowledge and Language: A Comparative Study of Knowledge Graph-Based Question Answering with LLMs

Vaibhav Chaudhary, Neha Soni, Narotam Singh, Amita Kapoor

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

Comments 46 pages, 4 figures, 17 tables

KLIPA: A Knowledge Graph and LLM-Driven QA Framework for IP Analysis

Guanzhi Deng, Yi Xie, Yu-Keung Ng, Mingyang Liu, Peijun Zheng, Jie Liu, Dapeng Wu, Yinqiao Li, Linqi Song

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

Addressing accuracy and hallucination of LLMs in Alzheimer's disease research through knowledge graphs

Tingxuan Xu, Jiarui Feng, Justin Melendez, Kaleigh Roberts, Donghong Cai, Mingfang Zhu, Donald Elbert, Yixin Chen, Randall J. Bateman

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

Complex System Diagnostics Using a Knowledge Graph-Informed and Large Language Model-Enhanced Framework

Saman Marandi, Yu-Shu Hu, Mohammad Modarres

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

Comments 22 Pages, 11 Figures

Reflection-Enhanced Meta-Optimization Integrating TextGrad-style Prompt Optimization with Memory-Driven Self-Evolution

Chunlong Wu, Zhibo Qu

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