RAG / 检索增强生成

CDE-Mapper: Using Retrieval-Augmented Language Models for Linking Clinical Data Elements to Controlled Vocabularies

Komal Gilani, Marlo Verket, Christof Peters, Michel Dumontier, Hans-Peter Brunner-La Rocca, Visara Urovi

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

Comments 25 pages (one column), 7 figures

Enhancing tutoring systems by leveraging tailored promptings and domain knowledge with Large Language Models

Mohsen Balavar, Wenli Yang, David Herbert, Soonja Yeom

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

Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice

José Siqueira de Cerqueira, Kai-Kristian Kemell, Rebekah Rousi, Nannan Xi, Juho Hamari, Pekka Abrahamsson

机构 * Tampere University（塔尔基耶大学） ； University of Vaasa（瓦萨大学） 纠错

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

Retrieval Augmented Learning: A Retrial-based Large Language Model Self-Supervised Learning and Autonomous Knowledge Generation

Zongyuan Li, Pengfei Li, Runnan Qi, Yanan Ni, Lumin Jiang, Hui Wu, Xuebo Zhang, Kuihua Huang, Xian Guo

机构 * College of Artificial Intelligence, Nankai University（南开大学人工智能学院） ； Laboratory for Big Data and Decision, National University of Defense Technology（国防科技大学大数据与决策实验室） 纠错

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

Detecting Manipulated Contents Using Knowledge-Grounded Inference

Mark Huasong Meng, Ruizhe Wang, Meng Xu, Chuan Yan, Guangdong Bai

机构 * Technical University of Munich（慕尼黑技术大学） ； University of Waterloo（滑铁卢大学） ； The University of Queensland（昆士兰大学） 纠错

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

Comments 16 pages

LLM-driven Effective Knowledge Tracing by Integrating Dual-channel Difficulty

Jiahui Cen, Jianghao Lin, Weixuan Zhong, Dong Zhou, Jin Chen, Aimin Yang, Yongmei Zhou

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

Comments During a careful review of our base-experiment results, we discovered a possible error in the way some data were recorded. To ensure the integrity and accuracy of our work, we must correct these results and revise the corresponding analysis before making the manuscript publicly available

LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection

Rajesh Yarra

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

Towards Explainable Network Intrusion Detection using Large Language Models

Paul R. B. Houssel, Priyanka Singh, Siamak Layeghy, Marius Portmann

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

Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models

Nicolas Baumann, Cheng Hu, Paviththiren Sivasothilingam, Haotong Qin, Lei Xie, Michele Magno, Luca Benini

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

ReZero: Enhancing LLM search ability by trying one-more-time

Alan Dao, Thinh Le

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

Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese Drugs

Sifan Li, Yujun Cai, Bryan Hooi, Nanyun Peng, Yiwei Wang

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

RTLRepoCoder: Repository-Level RTL Code Completion through the Combination of Fine-Tuning and Retrieval Augmentation

Peiyang Wu, Nan Guo, Junliang Lv, Xiao Xiao, Xiaochun Ye

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

Evaluating Retrieval Augmented Generative Models for Document Queries in Transportation Safety

Chad Melton, Alex Sorokine, Steve Peterson

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

Comments 14 pages, 3 Figures, 3 tables

Can we repurpose multiple-choice question-answering models to rerank retrieved documents?

Jasper Kyle Catapang

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

Comments Accepted to The 38th Pacific Asia Conference on Language, Information and Computation; PACLIC 38 (2024)

Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations

Leonardo Ranaldi, Federico Ranaldi, Fabio Massimo Zanzotto, Barry Haddow, Alexandra Birch

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

Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework

Yuchen Wang, Shangxin Guo, Chee Wei Tan

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

Comments This work is accepted to IEEE CAI2025

Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation

Alexandre Misrahi, Nadezhda Chirkova, Maxime Louis, Vassilina Nikoulina

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

Comments 25 pages, 8 figures, 21 tables

LLM-Assisted Proactive Threat Intelligence for Automated Reasoning

Shuva Paul, Farhad Alemi, Richard Macwan

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

Comments 10 Pages, 1 Figure

SalesRLAgent: A Reinforcement Learning Approach for Real-Time Sales Conversion Prediction and Optimization

Nandakishor M

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

GRASP: Municipal Budget AI Chatbots for Enhancing Civic Engagement

Jerry Xu, Justin Wang, Joley Leung, Jasmine Gu

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

Journal ref 2024 IEEE International Conference on Big Data (BigData), Washington DC, USA, 2024, pp. 7438-7442

Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems

Yuelyu Ji, Hang Zhang, Yanshan Wang

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

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning

Sichun Luo, Jian Xu, Xiaojie Zhang, Linrong Wang, Sicong Liu, Hanxu Hou, Linqi Song

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

Comments arXiv admin note: substantial text overlap with arXiv:2502.06101

Fact-checking AI-generated news reports: Can LLMs catch their own lies?

Jiayi Yao, Haibo Sun, Nianwen Xue

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

Privacy-Enhancing Paradigms within Federated Multi-Agent Systems

Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, Jiawei Shao, Mang Ye, Carl Yang

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

LLM-based Corroborating and Refuting Evidence Retrieval for Scientific Claim Verification

Siyuan Wang, James R. Foulds, Md Osman Gani, Shimei Pan

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

TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator

Deepak Vungarala, Mohammed E. Elbtity, Sumiya Syed, Sakila Alam, Kartik Pandit, Arnob Ghosh, Ramtin Zand, Shaahin Angizi

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

Comments 8 Pages, 9 Figures, 5 Tables

Personalized Text Generation with Contrastive Activation Steering

Jinghao Zhang, Yuting Liu, Wenjie Wang, Qiang Liu, Shu Wu, Liang Wang, Tat-Seng Chua

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

Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History

Bowen Wu, Wenqing Wang, Haoran Li, Ying Li, Jingsong Yu, Baoxun Wang

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

CodeRAG-Bench: Can Retrieval Augment Code Generation?

Zora Zhiruo Wang, Akari Asai, Xinyan Velocity Yu, Frank F. Xu, Yiqing Xie, Graham Neubig, Daniel Fried

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

A Hybrid Approach to Information Retrieval and Answer Generation for Regulatory Texts

Jhon Rayo, Raul de la Rosa, Mario Garrido

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

Comments 5 pages; Workshop paper; Proceedings of the 1st Regulatory NLP Workshop (RegNLP 2025)

Journal ref Proceedings of the 1st Regulatory NLP Workshop, RegNLP 2025, Abu Dhabi, UAE, vol. 1, January 2025, pp. 31-35