RAG / 检索增强生成

Is Implicit Knowledge Enough for LLMs? A RAG Approach for Tree-based Structures

Mihir Gupte, Paolo Giusto, Ramesh S

机构 * General Motors（通用汽车公司） 纠错

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

Comments Waiting for Conference Response

Zero-Shot Vehicle Model Recognition via Text-Based Retrieval-Augmented Generation

Wei-Chia Chang, Yan-Ann Chen

机构 * Yuan Ze University（元智大学） 纠错

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

Comments Accepted by The 38th Conference of Open Innovations Association FRUCT, 2025

HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation

Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Zemin Kuang, Meina Song, Yifan Zhu, Luu Anh Tuan

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； Nanyang Technological University（南洋理工大学） ； Beijing Institute of Computer Technology and Application（北京计算机技术与应用研究所） ； National University of Singapore（新加坡国立大学） ； China Mobile Research Institute（中国移动研究院） ； Beijing Anzhen Hospital, Capital Medical University（首都医科大学北京安贞医院） 纠错

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

Comments Accepted by NeurIPS 2025 main conference

Journal ref NeurIPS 2025

ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection

Tenghui Huang, Jinbo Wen, Jiawen Kang, Siyong Chen, Zhengtao Li, Tao Zhang, Dongning Liu, Jiacheng Wang, Chengjun Cai, Yinqiu Liu, Dusit Niyato

机构 * School of Automation, Guangdong University of Technology（广东科技大學自動化學院） ； College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics（南京航空航天大學計算機科學與技術學院） ； School of Cyberspace Science and Technology, Beijing Jiaotong University（北京交通大學網絡空間科學與技術學院） ； School of Computer Science and Technology, Guangdong University of Technology（廣東科技大學計算機科學與技術學院） ； College of Computing and Data Science, Nanyang Technological University（南洋理工大學計算與數據科學學院） 纠错

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

Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval

Yubai Wei, Jiale Han, Yi Yang

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

Comments Link: https://github.com/BaileyWei/BMEmbed

Journal ref Findings of the Association for Computational Linguistics ACL 2025

Retrieval-in-the-Chain: Bootstrapping Large Language Models for Generative Retrieval

Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Wenjun Peng, Sen Li, Fuyu Lv

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

From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering

Lei Li, Xiao Zhou, Yingying Zhang, Xian Wu

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学北京校区人工智能学院） ； Tencent Jarvis Lab（腾讯 Jarvis 实验室） 纠错

专题命中 知识库问答 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL、cs.AI

Comments 13 pages, 4 figures

Can we Evaluate RAGs with Synthetic Data?

Jonas van Elburg, Peter van der Putten, Maarten Marx

机构 * IRLab, Informatics Institute, UvA, Amsterdam, the Netherlands（IR实验室、信息研究所、乌得勒支大学、阿姆斯特丹、荷兰） ； AI Lab, Pegasystems, Amsterdam, the Netherlands（AI实验室、佩加系统的阿姆斯特丹分部） ； LIACS, Leiden University, Leiden, the Netherlands（LIACS、莱顿大学、莱顿、荷兰） 纠错

专题命中 知识库问答 ：RAG(abstract)；retriever(abstract)；分类 cs.CL、cs.AI

Comments Accepted for the SynDAiTE workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2025), September 15, 2025 - Porto, Portugal

IMB: An Italian Medical Benchmark for Question Answering

Antonio Romano, Giuseppe Riccio, Mariano Barone, Marco Postiglione, Vincenzo Moscato

机构 * University of Naples Federico II, Department of Electrical Engineering（那不勒斯费德里科二世大学电子工程系） ； Consorzio Interuniversitario Nazionale per l'Informatica (CINI) - ITEM National Lab（国家信息计算联合研究中心（CINI）- ITEM国家实验室） ； Northwestern University, Department of Computer Science, McCormick School of Engineering（西北大学计算机科学系，工程学院） 纠错

专题命中 知识库问答 ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Journal ref CLIC-it 2025: Eleventh Italian Conference on Computational Linguistics, Cagliari, Italy, September 24-26, 2025

Query Decomposition for RAG: Balancing Exploration-Exploitation

Roxana Petcu, Kenton Murray, Daniel Khashabi, Evangelos Kanoulas, Maarten de Rijke, Dawn Lawrie, Kevin Duh

机构 * University of Amsterdam（阿姆斯特丹大学） ； Johns Hopkins University（约翰霍普金斯大学） 纠错

专题命中 长文档RAG ：RAG(title,abstract)；retrieval-augmented generation(abstract)；分类 cs.AI

DynaQuery: A Self-Adapting Framework for Querying Structured and Multimodal Data

Aymane Hassini

机构 * Al Akhawayn University（阿尔阿克哈文大学） 纠错

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

Comments 15 pages, 2 figures, 10 tables. Source code and experimental artifacts are available at: https://github.com/aymanehassini/DynaQuery . The 'DynaQuery-Eval-5K' benchmark, introduced in this work, is also publicly available at: https://www.kaggle.com/datasets/aymanehassini/dynaquery-eval-5k-benchmark

Proactive Reasoning-with-Retrieval Framework for Medical Multimodal Large Language Models

Lehan Wang, Yi Qin, Honglong Yang, Xiaomeng Li

机构 * The Hong Kong University of Science and Technology（香港科学与技术大学） 纠错

专题命中 多模态RAG ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments Work in progress

ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG Benchmarks

Liyang He, Yuren Zhang, Ziwei Zhu, Zhenghui Li, Shiwei Tong

专题命中 RAG评测 ：RAG(title,abstract)；retrieval augmented generation(abstract)；分类 cs.CL

Repairing Tool Calls Using Post-tool Execution Reflection and RAG

Jason Tsay, Zidane Wright, Gaodan Fang, Kiran Kate, Saurabh Jha, Yara Rizk

机构 * IBM Research（IBM研究院） 纠错

专题命中 RAG评测 ：RAG(title,abstract)；retrieval-augmented generation(abstract)；分类 cs.AI

Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs

Yehor Tereshchenko, Mika Hämäläinen

机构 * Metropolia University of Applied Sciences（Metropolia应用科学大学） 纠错

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL、cs.AI

Comments Published in the Journal of Data Mining & Digital Humanities (JDMDH), special issue NLP4DH

Journal ref Journal of Data Mining & Digital Humanities, NLP4DH, October 14, 2025

ECG-LLM -- training and evaluation of domain-specific large language models for electrocardiography

Lara Ahrens, Wilhelm Haverkamp, Nils Strodthoff

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Comments 34 pages, 8 figures, code available at https://github.com/AI4HealthUOL/ecg-llm