RAG / 检索增强生成

A Feasibility Study on Usability and Trust among Population Groups of a Medical Avatar Supported by Large Language Models with Retrieval Augmented Generation

Roel Boumans, Lisa Cramer, Sascha van de Poll, Henria Vermeulen

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

Comments 22 pages, 4 figures, 2 tables

Unmasking Hiring Bias: Platform Data Analysis and Controlled Experiments on Bias in Online Freelance Marketplaces via RAG-LLM Generated Contents

Wugeng Zheng, Guohou Shan

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

A Longitudinal Study on Different Annotator Feedback Loops in Complex RAG Tasks

Sara Rosenthal, Maeda Hanafi, Yannis Katsis, Lucian Popa, Marina Danilevsky

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

Comments 26 pages

Retrieval-Augmented Generation with Estimation of Source Reliability

Jeongyeon Hwang, Junyoung Park, Hyejin Park, Dongwoo Kim, Sangdon Park, Jungseul Ok

机构 * Pohang University of Science and Technology (POSTECH)（釜山科学技术大学） 纠错

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

NotebookLM as a Socratic physics tutor: Design and preliminary observations of a RAG-based tool

Eugenio Tufino

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

Comments 9 pages, 5 figures. Revised version accepted for publication in The Physics Educator (World Scientific, in press)

Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented Generation

Reza Fayyazi, Rozhina Taghdimi, Shanchieh Jay Yang

机构 * Department of Electrical & Computer Engineering（电气与计算机工程系） ； Rochester Institute of Technology（罗切斯特理工学院） 纠错

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

ARRC: Advanced Reasoning Robot Control - Knowledge-Driven Autonomous Manipulation Using Retrieval-Augmented Generation

Eugene Vorobiov, Ammar Jaleel Mahmood, Salim Rezvani, Robin Chhabra

机构 * Department of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University（机械、工业与机电工程系，多伦多 Metropolitan 大学） 纠错

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

Bridging Clinical Narratives and ACR Appropriateness Guidelines: A Multi-Agent RAG System for Medical Imaging Decisions

Satrio Pambudi, Filippo Menolascina

专题命中 检索器与排序 ：RAG(title)；retriever(abstract)；dense retrieval(abstract)

Online-Optimized RAG for Tool Use and Function Calling

Yu Pan, Xiaocheng Li, Hanzhao Wang

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

Seeing the Forest Through the Trees: Knowledge Retrieval for Streamlining Particle Physics Analysis

James McGreivy, Blaise Delaney, Anja Beck, Mike Williams

专题命中 检索器与排序 ：knowledge retrieval(title)；retrieval augmented generation(abstract)；RAG(abstract)

Comments 17 pages, 3 figures

NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings

Or Shachar, Uri Katz, Yoav Goldberg, Oren Glickman

机构 * Computer Science Department, Bar-Ilan University（巴伊兰大学计算机科学系） 纠错

专题命中 检索器与排序 ：retriever(title,abstract)；分类 cs.IR、cs.CL、cs.AI

Comments Findings of EMNLP 2025

PyZoBot: A Platform for Conversational Information Extraction and Synthesis from Curated Zotero Reference Libraries through Advanced Retrieval-Augmented Generation

Suad Alshammari, Lama Basalelah, Walaa Abu Rukbah, Ali Alsuhibani, Dayanjan S. Wijesinghe

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

Comments 10 pages, 2 figures. The code is provided in github and the link to the repository is provided at the end of the publication

Enhancing Document VQA Models via Retrieval-Augmented Generation

Eric López, Artemis Llabrés, Ernest Valveny

机构 * Computer Vision Center, Universitat Autònoma de Barcelona, Spain（巴塞罗那自治大学计算机视觉中心） 纠错

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

Comments Accepted at Workshop on Machine Learning in Document Analysis and Recognition (ICDAR WML 2025), Wuhan, China

WIP: Leveraging LLMs for Enforcing Design Principles in Student Code: Analysis of Prompting Strategies and RAG

Dhruv Kolhatkar, Soubhagya Akkena, Edward F. Gehringer

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

Comments Accepted for presentation at the Frontiers in Education Conference, Nashville, Tennessee, USA, 2-5 November 2025

Role of Large Language Models and Retrieval-Augmented Generation for Accelerating Crystalline Material Discovery: A Systematic Review

Agada Joseph Oche, Arpan Biswas

机构 * Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, USA（跨学科研究中心，田纳西大学，诺克斯维尔，美国） ； University of Tennessee-Oak Ridge Innovation Institute, University of Tennessee, Knoxville, USA（田纳西大学橡树岭创新研究所，田纳西大学，诺克斯维尔，美国） 纠错

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

Comments 10 pages, 2 figures

TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text

Ahmed Lekssays, Utsav Shukla, Husrev Taha Sencar, Md Rizwan Parvez

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

Comments Accepted at ACL (Findings) 2025

Enhancing Retrieval-Augmented Generation for Electric Power Industry Customer Support

Hei Yu Chan, Kuok Tou Ho, Chenglong Ma, Yujing Si, Hok Lai Lin, Sa Lei Lam

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

Comments 6 pages

DR.EHR: Dense Retrieval for Electronic Health Record with Knowledge Injection and Synthetic Data

Zhengyun Zhao, Huaiyuan Ying, Yue Zhong, Sheng Yu

机构 * Tsinghua University（清华大学） 纠错

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

Comments Model and code released upon acceptance

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat

Zezhou Yang, Ting Peng, Cuiyun Gao, Chaozheng Wang, Hailiang Huang, Yuetang Deng

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

Comments Accepted in ICSME 25 Industry Track

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective

Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan O. Arik

机构 * University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Google Cloud AI Research（谷歌云人工智能研究） ； Google DeepMind（谷歌DeepMind） ； University of Virginia（弗吉尼亚大学） 纠错

专题命中 检索器与排序 ：retriever(title,abstract)；分类 cs.IR、cs.CL、cs.AI

Comments 26 pages

PhishIntentionLLM: Uncovering Phishing Website Intentions through Multi-Agent Retrieval-Augmented Generation

Wenhao Li, Selvakumar Manickam, Yung-wey Chong, Shankar Karuppayah

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

Comments Accepted by EAI ICDF2C 2025

GRAG: Graph Retrieval-Augmented Generation

Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao

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

Comments 13 pages, 5 figures

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry

Chetan Arora, Fanyu Wang, Chakkrit Tantithamthavorn, Aldeida Aleti, Shaun Kenyon

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

Bridging the Gap with Retrieval-Augmented Generation: Making Prosthetic Device User Manuals Available in Marginalised Languages

Ikechukwu Ogbonna, Lesley Davidson, Soumya Banerjee, Abhishek Dasgupta, Laurence Kenney, Vikranth Harthikote Nagaraja

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

Comments 5 pages, 0 figures, 0 tables

Journal ref Presented in Data Science Africa 2025 Workshop, 2025, University of Ibadan, Ibadan, Nigeria

Enhancing Android Malware Detection with Retrieval-Augmented Generation

Saraga S., Anagha M. S., Dincy R. Arikkat, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, Vinod P

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

RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines

Xiwei Xu, Hans Weytjens, Dawen Zhang, Qinghua Lu, Ingo Weber, Liming Zhu

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

Detecting Undesired Process Behavior by Means of Retrieval Augmented Generation

Michael Grohs, Adrian Rebmann, Jana-Rebecca Rehse

机构 * University of Mannheim（曼海姆大学） ； SAP Signavio 纠错

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

Comments Accepted at the BPM Forum, located at the International Conference on Business Process Management (BPM) 2025

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry

Chaozheng Wang, Zezhou Yang, Shuzheng Gao, Cuiyun Gao, Ting Peng, Hailiang Huang, Yuetang Deng, Michael Lyu

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

Comments Accepted in FSE 25 Industry Track

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models

Yangguang Shao, Xinjie Lin, Haozheng Luo, Chengshang Hou, Gang Xiong, Jiahao Yu, Junzheng Shi

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

Comments 12 pages, 7 tables and 3 figures

Hoist with His Own Petard: Inducing Guardrails to Facilitate Denial-of-Service Attacks on Retrieval-Augmented Generation of LLMs

Pan Suo, Yu-Ming Shang, San-Chuan Guo, Xi Zhang

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

Comments 11 pages, 6 figures. This work will be submitted to the IEEE for possible publication