RAG / 检索增强生成

Efficient Document Retrieval with G-Retriever

Manthankumar Solanki

机构 * University of Stuttgart（斯图加特大学） 纠错

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

Comments Extended version of a paper presented at NeurIPS 2024 (arXiv:2402.07630)

RAG-Based Fuzzing of Cross-Architecture Compilers

Rana Elnaggar, Brian Delgado, Jason M. Fung

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

Financial Analysis: Intelligent Financial Data Analysis System Based on LLM-RAG

Jingru Wang, Wen Ding, Xiaotong Zhu

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

A Multi-agent Onboarding Assistant based on Large Language Models, Retrieval Augmented Generation, and Chain-of-Thought

Andrei Cristian Ionescu, Sergey Titov, Maliheh Izadi

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

Comments Accepted in The ACM International Conference on the Foundations of Software Engineering (FSE 2025) - Demo Track

Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrieval

Karanbir Singh, William Ngu

机构 * Salesforce（赛富时公司） 纠错

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

Automatic Teaching Platform on Vision Language Retrieval Augmented Generation

Ruslan Gokhman, Jialu Li, Youshan Zhang

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

Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

Xu Zheng, Ziqiao Weng, Yuanhuiyi Lyu, Lutao Jiang, Haiwei Xue, Bin Ren, Danda Paudel, Nicu Sebe, Luc Van Gool, Xuming Hu

机构 * HKUST(GZ)（香港科技大学（广州）） ； INSAIT（保加利亚人工智能与数据科学研究所） ； Sofia University “St. Kliment Ohridski”（索非亚大学） ； HKUST（香港科技大学） ； Sichuan University（四川大学） ； Tinghua University（清华大学） ； ETH Zurich（苏黎世联邦理工学院） ； University of Pisa（比萨大学） ； University of Trento（特伦托大学） 纠错

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

Comments 19 pages, 10 figures

To Retrieve or Not to Retrieve? Uncertainty Detection for Dynamic Retrieval Augmented Generation

Kaustubh D. Dhole

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

Comments 1st workshop of "Quantify Uncertainty and Hallucination in Foundation Models: The Next Frontier in Reliable AI" at ICLR 2025

Retrieval Augmented Generation with Multi-Modal LLM Framework for Wireless Environments

Muhammad Ahmed Mohsin, Ahsan Bilal, Sagnik Bhattacharya, John M. Cioffi

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

Comments Accepted @ ICC 2025

A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models

Daniel B. Hier, Thanh Son Do, Tayo Obafemi-Ajayi

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

Comments Published by Frontiers in Digital Health

Journal ref Frontiers in Digital Health 7, (2025): 1495040. Accessed March 4, 2025

WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval

Michael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrović, Michael Granitzer

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

Comments 10 pages, 3 figures, 7 tables

Leveraging Retrieval-Augmented Generation and Large Language Models to Predict SERCA-Binding Protein Fragments from Cardiac Proteomics Data

Taylor A Phillips, Alejandro W. Huskey, Patrick T. Huskey, Seth L. Robia, Peter M. Kekenes-Huskey

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

RAGVA: Engineering Retrieval Augmented Generation-based Virtual Assistants in Practice

Rui Yang, Michael Fu, Chakkrit Tantithamthavorn, Chetan Arora, Lisa Vandenhurk, Joey Chua

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

Comments Under Review at the Journal of Systems and Software (JSS)

ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation

Peter Devine

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

Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching

Chuangtao Ma, Sriom Chakrabarti, Arijit Khan, Bálint Molnár

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

Comments Under Review

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG

Hui Wu, Xiaoyang Wang, Zhong Fan

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

Retrieval-Augmented Generation by Evidence Retroactivity in LLMs

Liang Xiao, Wen Dai, Shuai Chen, Bin Qin, Chongyang Shi, Haopeng Jing, Tianyu Guo

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

EdgeRAG: Online-Indexed RAG for Edge Devices

Korakit Seemakhupt, Sihang Liu, Samira Khan

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

Retrieval-Augmented Generation for Mobile Edge Computing via Large Language Model

Runtao Ren, Yinyu Wu, Xuhui Zhang, Jinke Ren, Yanyan Shen, Shuqiang Wang, Kim-Fung Tsang

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

Comments This manuscript has been submitted to IEEE

Retrieval-augmented Generation for GenAI-enabled Semantic Communications

Shunpu Tang, Ruichen Zhang, Yuxuan Yan, Qianqian Yang, Dusit Niyato, Xianbin Wang, Shiwen Mao

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

RAG for Effective Supply Chain Security Questionnaire Automation

Zaynab Batool Reza, Abdul Rafay Syed, Omer Iqbal, Ethel Mensah, Qian Liu, Maxx Richard Rahman, Wolfgang Maass

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

Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

Michael Shen, Muhammad Umar, Kiwan Maeng, G. Edward Suh, Udit Gupta

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

MoRAG -- Multi-Fusion Retrieval Augmented Generation for Human Motion

Sai Shashank Kalakonda, Shubh Maheshwari, Ravi Kiran Sarvadevabhatla

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

When Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Study

Yang Xiong, Ruichen Zhang, Yinqiu Liu, Dusit Niyato, Zehui Xiong, Ying-Chang Liang, Shiwen Mao

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

Comments 9 pages, 4 figures

Interactive AI with Retrieval-Augmented Generation for Next Generation Networking

Ruichen Zhang, Hongyang Du, Yinqiu Liu, Dusit Niyato, Jiawen Kang, Sumei Sun, Xuemin Shen, H. Vincent Poor

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

Comments 10 pages, 4 figures

SeeSay: An Assistive Device for the Visually Impaired Using Retrieval Augmented Generation

Melody Yu

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

RepoGenReflex: Enhancing Repository-Level Code Completion with Verbal Reinforcement and Retrieval-Augmented Generation

Jicheng Wang, Yifeng He, Hao Chen

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

Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever

Rohan Jha, Bo Wang, Michael Günther, Georgios Mastrapas, Saba Sturua, Isabelle Mohr, Andreas Koukounas, Mohammad Kalim Akram, Nan Wang, Han Xiao

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

Comments 8 pages, references at pp7,8; EMNLP workshop submission

PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia

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

Comments To appear in USENIX Security Symposium 2025. The code is available at https://github.com/sleeepeer/PoisonedRAG

MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance

Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha, Anivarya Kumar, David Page

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

Comments Paper published at Machine Learning for Healthcare 2024 (MLHC'24)