RAG / 检索增强生成

Object Retrieval for Visual Question Answering with Outside Knowledge

Shichao Kan, Yuhai Deng, Jiale Fu, Lihui Cen, Zhe Qu, Linna Zhang, Yixiong Liang, Yigang Cen

机构 * School of Computer Science and Engineering, Central South University（中南大学计算机科学与工程学院） ； School of Automation, Central South University（中南大学自动化学院） ； Dundee International Institute, Central South University（中南大学邓迪国际学院） ； College of Mechanical Engineering, Guizhou University（贵州大学机械工程学院） ； Institute of Information Science, School of Computer and Information Technology, Beijing Jiaotong University（北京交通大学计算机与信息学院信息科学研究所） ； Beijing Key Laboratory of Advanced Information Science and Network Technology（北京高级信息科学与网络技术重点实验室） 纠错

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

LASA: Enhancing SoC Security Verification with LLM-Aided Property Generation

Dinesh Reddy Ankireddy, Sudipta Paria, Aritra Dasgupta, Sandip Ray, Swarup Bhunia

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

Comments 9 pages, 5 figures, 5 tables

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting

Michał Wawer, Jarosław A. Chudziak

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

Comments 12 pages, 8 figures, 1 table. This is the accepted version of the paper presented at the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025), Porto, Portugal

Journal ref Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1 (ICAART 2025), pages 100-111. SciTePress, 2025

Al-Khwarizmi: Discovering Physical Laws with Foundation Models

Christopher E. Mower, Haitham Bou-Ammar

机构 * Huawei's Noahs Ark Lab, London, UK.（华为诺亚实验室，伦敦，英国） 纠错

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

HybridRAG-based LLM Agents for Low-Carbon Optimization in Low-Altitude Economy Networks

Jinbo Wen, Cheng Su, Jiawen Kang, Jiangtian Nie, Yang Zhang, Jianhang Tang, Dusit Niyato, Chau Yuen

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

Retrieval-augmented code completion for local projects using large language models

Marko Hostnik, Marko Robnik-Šikonja

机构 * Faculty of Computer and Information Science, University of Ljubljana（计算机与信息科学学院，卢布尔雅那大学） ； Faculty of Mathematics and Physics, University of Ljubljana（数学与物理学院，卢布尔雅那大学） 纠错

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

Comments 30 pages, 15 figures; Accepted manuscript for Expert Systems with Applications

Retrieval-Augmented Code Review Comment Generation

Hyunsun Hong, Jongmoon Baik

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

Test code generation at Ericsson using Program Analysis Augmented Fine Tuned LLMs

Sai Krishna, Balvinder Singh, Sujoy Roychowdhury, Giriprasad Sridhara, Sourav Mazumdar, Magnus Sandelin, Dimitris Rentas, Maciej Nalepa, Karol Sawicki, Jakub Gajda

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

Comments Accepted at International Conference on Evaluation and Assessment in Software Engineering (EASE), 2025

FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents

Nandan Thakur, Jimmy Lin, Sam Havens, Michael Carbin, Omar Khattab, Andrew Drozdov

机构 * University of Waterloo（滑铁卢大学） ； Databricks（Databricks公司） 纠错

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

Comments 21 pages, 4 figures, 8 tables

Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval

Kidist Amde Mekonnen, Yosef Worku Alemneh, Maarten de Rijke

机构 * University of Amsterdam（阿姆斯特丹大学） 纠错

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

Comments 10 pages (excl. refs/appendix), 10 figures. Accepted to ACL 2025 Findings. Kidist and Yosef contributed equally to this work. Public resources: https://github.com/kidist-amde/amharic-ir-benchmarks

Retrieval-augmented systems can be dangerous medical communicators

Lionel Wong, Ayman Ali, Raymond Xiong, Shannon Zeijang Shen, Yoon Kim, Monica Agrawal

机构 * MIT CSAIL（麻省理工学院计算机科学与人工智能实验室） ； Duke University（杜克大学） ； Stanford University（斯坦福大学） 纠错

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

Comments Position paper in Proceedings of the 42 nd International Conference on Machine Learning

MotionRAG-Diff: A Retrieval-Augmented Diffusion Framework for Long-Term Music-to-Dance Generation

Mingyang Huang, Peng Zhang, Bang Zhang

机构 * Tongyi Lab, Alibaba Group（通义实验室，阿里巴巴集团） 纠错

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

Comments 12 pages, 5 figures

Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples

Haesung Pyun, Yoonah Park, Yohan Jo

机构 * Graduate School of Data Science, Seoul National University（数据科学研究生院，首尔国立大学） ； Department of Computer Science and Engineering, Seoul National University（计算机科学与工程系，首尔国立大学） 纠错

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

Comments This paper has been accepted for publication at ACL 2025

MCP Safety Training: Learning to Refuse Falsely Benign MCP Exploits using Improved Preference Alignment

John Halloran

机构 * Leidos（莱迪斯公司） 纠错

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

Comments 27 pages, 19 figures, 4 tables

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models

Dario Satriani, Enzo Veltri, Donatello Santoro, Paolo Papotti

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

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems

Hansa Meghwani, Amit Agarwal, Priyaranjan Pattnayak, Hitesh Laxmichand Patel, Srikant Panda

机构 * Oracle AI 纠错

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

Comments Accepted to ACL 2025

The machine learning platform for developers of large systems

Alexey Naikov, Anatoly Oreshkin, Alexey Shvetsov, Andrey Shevel

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

Comments 12 pages

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions

Haochen Xue, Chenghao Liu, Chong Zhang, Yuxuan Chen, Angxiao Zong, Zhaodong Wu, Yulong Li, Jiayi Liu, Kaiyu Liang, Zhixiang Lu, Ruobing Li, Jionglong Su

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

CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages

Shangda Wu, Zhancheng Guo, Ruibin Yuan, Junyan Jiang, Seungheon Doh, Gus Xia, Juhan Nam, Xiaobing Li, Feng Yu, Maosong Sun

机构 * Page 9（页面9） 纠错

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

Comments 20 pages, 8 figures, 12 tables, accepted by ACL 2025

Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models

Camille Couturier, Spyros Mastorakis, Haiying Shen, Saravan Rajmohan, Victor Rühle

机构 * Microsoft 365 Research（微软365研究） ； University of Virginia（弗吉尼亚大学） 纠错

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

Comments Preprint. Paper accepted at ICCCN 2025, the final version will appear in the proceedings

Harnessing the Power of LLMs, Informers and Decision Transformers for Intent-driven RAN Management in 6G

Md Arafat Habib, Pedro Enrique Iturria Rivera, Yigit Ozcan, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci

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

Comments Currently under review

Automating Function-Level TARA for Automotive Full-Lifecycle Security

Yuqiao Yang, Yongzhao Zhang, Wenhao Liu, Jun Li, Pengtao Shi, DingYu Zhong, Jie Yang, Ting Chen, Sheng Cao, Yuntao Ren, Yongyue Wu, Xiaosong Zhang

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

Generative AI Enhanced Financial Risk Management Information Retrieval

Amin Haeri, Jonathan Vitrano, Mahdi Ghelichi

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

Comments 10 pages, 3 figures, 2 tables, 1 equation

Themes of Building LLM-based Applications for Production: A Practitioner's View

Alina Mailach, Sebastian Simon, Johannes Dorn, Norbert Siegmund

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

BanglAssist: A Bengali-English Generative AI Chatbot for Code-Switching and Dialect-Handling in Customer Service

Francesco Kruk, Savindu Herath, Prithwiraj Choudhury

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

Comments Accepted at the 2025 Conference on Human Factors in Computing Systems (CHI 2025)

What to Retrieve for Effective Retrieval-Augmented Code Generation? An Empirical Study and Beyond

Wenchao Gu, Juntao Chen, Yanlin Wang, Tianyue Jiang, Xingzhe Li, Mingwei Liu, Xilin Liu, Yuchi Ma, Zibin Zheng

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

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan O. Arik, Danqi Chen, Tao Yu

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

Comments 51 pages

An LLM-Powered Clinical Calculator Chatbot Backed by Verifiable Clinical Calculators and their Metadata

Niranjan Kumar, Farid Seifi, Marisa Conte, Allen Flynn

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

Comments 10 pages, 6 tables, 1 figure

When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?

Jingyi Chen, Songqiang Chen, Jialun Cao, Jiasi Shen, Shing-Chi Cheung

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

Safeguarding LLM Embeddings in End-Cloud Collaboration via Entropy-Driven Perturbation

Shuaifan Jin, Xiaoyi Pang, Zhibo Wang, He Wang, Jiacheng Du, Jiahui Hu, Kui Ren

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