RAG / 检索增强生成

Using LLMs and Essence to Support Software Practice Adoption

Sonia Nicoletti, Paolo Ciancarini

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

Automated Label Placement on Maps via Large Language Models

Harry Shomer, Jiejun Xu

机构 * University of Texas at Arlington（德克萨斯理工大学） ； HRL Laboratories（HRL实验室） 纠错

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

Comments Workshop on AI for Data Editing (AI4DE) at KDD 2025

Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants

Di Wen, Junwei Zheng, Ruiping Liu, Yi Xu, Kunyu Peng, Rainer Stiefelhagen

机构 * Computer Vision for Human-Computer Interaction Lab (cv:hci)（人机交互视觉实验室） ； Institute for Anthropomatics and Robotics (IAR)（人机学与机器人研究所） ； Karlsruhe Institute of Technology（卡尔斯鲁厄技术大学） 纠错

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

TimelyHLS: LLM-Based Timing-Aware and Architecture-Specific FPGA HLS Optimization

Nowfel Mashnoor, Mohammad Akyash, Hadi Kamali, Kimia Azar

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

Zara: An LLM-based Candidate Interview Feedback System

Nima Yazdani, Aruj Mahajan, Ali Ansari

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

Comments 11 pages, 8 figures

Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction

Charlie Campbell, Hao Mark Chen, Wayne Luk, Hongxiang Fan

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

Comments Paper accepted by DAC'25

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution

Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao

机构 * Department of Electronic Engineering, Tsinghua University（清华大学电子工程系） 纠错

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

Towards Action Hijacking of Large Language Model-based Agent

Yuyang Zhang, Kangjie Chen, Jiaxin Gao, Ronghao Cui, Run Wang, Lina Wang, Tianwei Zhang

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

ROGRAG: A Robustly Optimized GraphRAG Framework

Zhefan Wang, Huanjun Kong, Jie Ying, Wanli Ouyang, Nanqing Dong

机构 * Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； Shanghai Innovation Institute（上海创新研究院） ； Chinese University of Hong Kong（香港中文大学） 纠错

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

Comments ACL2025 demo track, 10 pages

D2S-FLOW: Automated Parameter Extraction from Datasheets for SPICE Model Generation Using Large Language Models

Hong Cai Chen, Yi Pin Xu, Yang Zhang

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

Comments 14 pages, 18 figures

ALFRED: Ask a Large-language model For Reliable ECG Diagnosis

Jin Yu, JaeHo Park, TaeJun Park, Gyurin Kim, JiHyun Lee, Min Sung Lee, Joon-myoung Kwon, Jeong Min Son, Yong-Yeon Jo

机构 * MedicalAI Co., Ltd.（MedicalAI公司） 纠错

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

Large Language Model-Based Knowledge Graph System Construction for Sustainable Development Goals: An AI-Based Speculative Design Perspective

Yi-De Lin, Guan-Ze Liao

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

Comments This is a minor revision: fixed a typo in the abstract (time range) and corrected minor textual errors

Timing Analysis Agent: Autonomous Multi-Corner Multi-Mode (MCMM) Timing Debugging with Timing Debug Relation Graph

Jatin Nainani, Chia-Tung Ho, Anirudh Dhurka, Haoxing Ren

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

Comments 7 pages, 7 figures, 2 tables

Glocalizing Generative AI in Education for the Global South: The Design Case of 21st Century Teacher Educator AI for Ghana

Matthew Nyaaba

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

Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models

Balduin Katzer, Steffen Klinder, Katrin Schulz

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

DroidTTP: Mapping Android Applications with TTP for Cyber Threat Intelligence

Dincy R Arikkat, Vinod P., Rafidha Rehiman K. A., Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Mauro Conti

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

Towards Reliable Vector Database Management Systems: A Software Testing Roadmap for 2030

Shenao Wang, Yanjie Zhao, Yinglin Xie, Zhao Liu, Xinyi Hou, Quanchen Zou, Haoyu Wang

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；vector search(abstract)

AutoPureData: Automated Filtering of Undesirable Web Data to Update LLM Knowledge

Praneeth Vadlapati

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

Comments Final version

Journal ref Journal of Mathematical & Computer Applications, 3 (2024) E121

Knowledge-Enhanced Program Repair for Data Science Code

Shuyin Ouyang, Jie M. Zhang, Zeyu Sun, Albert Merono Penuela

专题命中 图谱与结构化RAG ：RAG(abstract)；knowledge retrieval(abstract)

Journal ref ICSE 2025

FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning

Nicole Cho, Nishan Srishankar, Lucas Cecchi, William Watson

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

Comments Accepted at the 5th ACM International Conference on AI in Finance (ICAIF '24)

DepsRAG: Towards Agentic Reasoning and Planning for Software Dependency Management

Mohannad Alhanahnah, Yazan Boshmaf

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

"Ghost of the past": identifying and resolving privacy leakage from LLM's memory through proactive user interaction

Shuning Zhang, Lyumanshan Ye, Xin Yi, Jingyu Tang, Bo Shui, Haobin Xing, Pengfei Liu, Hewu Li

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

Learning variant product relationship and variation attributes from e-commerce website structures

Pedro Herrero-Vidal, You-Lin Chen, Cris Liu, Prithviraj Sen, Lichao Wang

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

Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study

Zahra Sepasdar, Sushant Gautam, Cise Midoglu, Michael A. Riegler, Pål Halvorsen

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

Retrieval Augmented Correction of Named Entity Speech Recognition Errors

Ernest Pusateri, Anmol Walia, Anirudh Kashi, Bortik Bandyopadhyay, Nadia Hyder, Sayantan Mahinder, Raviteja Anantha, Daben Liu, Sashank Gondala

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

Comments Submitted to ICASSP 2025

Graph database while computationally efficient filters out quickly the ESG integrated equities in investment management

Partha Sen, Sumana Sen

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

Comments 10 pages, 17 figures

Robust Candidate Generation for Entity Linking on Short Social Media Texts

Liam Hebert, Raheleh Makki, Shubhanshu Mishra, Hamidreza Saghir, Anusha Kamath, Yuval Merhav

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

Comments 7 pages, 2 figures. Accepted to Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022). URL: https://aclanthology.org/2022.wnut-1.8

Journal ref Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022). pages 83-89

Neighborhood-Aware Dual Biomedical Entity Linking

感知邻域的双生物医学实体链接

Yicheng Tao, Jie Liu

专题命中 图谱与结构化RAG ：retriever(abstract)；分类 cs.IR、cs.CL

AI总结 针对生物医学实体链接的挑战，提出三阶段框架PILOT，在五个基准上取得最优性能且推理高效。

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs

跨文本、表格和知识图谱检测知识不一致性

Fanfu Wei, Thibault Ehrhart, Raphaël Troncy

机构 * EURECOM（欧洲电信学院） 纠错

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

AI总结 研究跨文本、表格和知识图谱的知识不一致性检测问题，提出\textsc{Kontrast}框架，通过文本到SPARQL和语言模型推理比较并分类不一致性，实验表明跨模态不一致性常见且有价值，为知识审计提供工具并建立基准。

MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph

MedKGent：用于构建随时间演变的医学知识图谱的大语言模型智能体框架

Duzhen Zhang, Zixiao Wang, Zhong-Zhi Li, Yahan Yu, Shuncheng Jia, Jiahua Dong, Haotian Xu, Xing Wu, Yingying Zhang, Tielin Zhang, Jie Yang, Xiuying Chen, Le Song

机构 * Mohamed bin Zayed University of Artificial Intelligence（莫扎德大学人工智能学院） ； University of Chinese Academy of Sciences（中国科学院大学） ； Kyoto University（京都大学） ； Tsinghua University（清华大学） ； East China Normal University（华东师范大学） ； Center for Excellence in Brain Science and Intelligence Technology（脑科学与智能技术卓越中心） ； Brigham and Women’s Hospital, Harvard Medical School（哈佛医学院布里特妇女医院） ； GenBio AI 纠错

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

AI总结 研究针对医学文献增长带来的知识结构化挑战，引入MedKGent框架，利用PubMed摘要通过两个智能体每日增量构建医学知识图谱，经评估其三元组有效性高，能显著改进大语言模型在医学问答基准上的检索增强生成。

Comments Accepted by Npj Digital Medicine