Retrieval-Augmented Generation

Also known as RAG

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Overview

Retrieval-augmented generation (RAG) studies how to give language models relevant information from documents, databases, or other sources at answer time, improving access to knowledge that may be missing or outdated in model parameters. Common approaches combine dense or sparse search with hybrid retrieval, reranking, and document chunking; GraphRAG and agentic methods add structure or iterative search for multi-hop questions and long documents. Work spans open-domain QA benchmarks as well as specialized settings such as legal, medical, code, and multimodal retrieval. A central tension is that more retrieved context can improve evidence coverage but also introduce noise, conflicts, cost, and unsupported answers, so systems increasingly focus on selective retrieval, verification, citation fidelity, and realistic evaluation.

Latest papers

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796 papers72 papers in the last four weeks, down 14% on the four weeks before. 0.4% of all new papers.

  1. Can Small Models Reason About Legal Documents? A Comparative Study

    Mar 26, 2026Snehit VaddiSmall Language ModelsLegal Reasoning

    Independent Researcher

  2. Sustainable Hybrid Document-Routed Retrieval for Financial RAG: Resolving the Robustness-Precision Trade-off

    Mar 26, 2026Zhiyuan Cheng, Longying Lai, Yue LiuRetrieval-Augmented GenerationFinancial QA

    School of Engineering, Stanford University, Stanford, CA, USA · bSimon Business School, University of Rochester, Rochester, NY, USA · cAccounting & Information Systems, Rutgers University, Newark, NJ, USA

  3. Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment

    Mar 26, 2026Yuxing Lu, Xukai Zhao, Wei Wu +1Retrieval-Augmented GenerationKnowledge Augmentation for Language Models

    Peking University · Georgia Institute of Technology · Tsinghua University

  4. Supercharging Federated Intelligence Retrieval

    Mar 26, 2026Dimitris Stripelis, Patrick Foley, Mohammad Naseri +4Privacy-Preserving RAGRetrieval-Augmented Generation

    Flower Labs

  5. GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring

    Mar 26, 2026Xinyi Duan, Yuanrong Tang, Jiangtao GongRetrieval-Augmented ReasoningRetrieval-Augmented Generation

    Tsinghua University

  6. Adaptive Chunking: Optimizing Chunking-Method Selection for RAG

    Mar 26, 2026Paulo Roberto de Moura Júnior, Jean Lelong, Annabelle BlangeroDocument ChunkingRetrieval-Augmented Generation

    Ekimetrics, France

  7. Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation

    Mar 26, 2026Adam Jakobsen, Sushant Gautam, Hugo Lewi Hammer +4Synthetic Clinical Data GenerationSynthetic Tabular Data Generation

    ∗SimulaMet, Norway · †Oslo Metropolitan University, Norway · ‡Uppsala University, Sweden

  8. Cost-Aware Query Routing in RAG: Empirical Analysis of Retrieval Depth Tradeoffs

    Mar 26, 2026Sanjay MishraRetrieval-Augmented GenerationAdaptive RAG

    Raleigh, NC, USA

  9. GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation

    Mar 26, 2026Ruizhong Miao, Yuying Wang, Rongguang Wang +4Multi-Hop RetrievalRetrieval-Augmented Generation

    Oracle AI

  10. Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA

    Mar 25, 2026Saahil Mathur, Ryan David Rittner, Vedant Ajit Thakur +2Retrieval-Augmented GenerationQuestion Answering

    Department of Computer Science, Purdue University, West Lafayette, IN 47907 · Department of Political Science, Purdue University, West Lafayette, IN 47907

  11. Who Benefits from RAG? The Role of Exposure, Utility and Attribution Bias

    Mar 25, 2026Mahdi Dehghan, Graham McDonaldGroup FairnessAlgorithmic Fairness

    University of Glasgow, Glasgow, UK

  12. Tug-of-War within A Decade: Conflict Resolution in Vulnerability Analysis via Teacher-Guided Retrieval-Augmented Generations

    Mar 25, 2026Ziyin Zhou, Jianyi Zhang, Xu ji +3Knowledge Conflicts in Language ModelsLLMs for Cybersecurity

    Beijing Electronic Science and Technology Institute

  13. CVPD at QIAS 2026: RAG-Guided LLM Reasoning for Al-Mawarith Share Computation and Heir Allocation

    Mar 25, 2026Wassim Swaileh, Mohammed-En-Nadhir Zighem, Hichem Telli +4Legal ReasoningRetrieval-Augmented Generation

    ETIS (UMR 8051), CY Cergy Paris Univ., ENSEA, CNRS, France · Computer Engineering Dept, Sana’a Community College, Yemen · VSC Laboratory, Department of Electronics and Automation, University of Biskra, Algeria +2

  14. Stateful Evidence-Driven Retrieval-Augmented Generation with Iterative Reasoning

    Mar 25, 2026Qi Dong, Ziheng Lin, Ning DingRetrieval-Augmented GenerationAdaptive RAG

    Vocalbeats.AI, 108 Robinson Road, Singapore 068900

  15. CoCR-RAG: Enhancing Retrieval-Augmented Generation in Web Q&A via Concept-oriented Context Reconstruction

    Mar 25, 2026Kaize Shi, Xueyao Sun, Qika Lin +4Retrieval-Augmented GenerationQuestion Answering

    University of Southern Queensland, QLD, Australia · University of Technology Sydney, NSW, Australia · The Hong Kong Polytechnic University, Hong Kong, China +3

  16. Grounding Arabic LLMs in the Doha Historical Dictionary: Retrieval-Augmented Understanding of Quran and Hadith

    Mar 25, 2026Somaya Eltanbouly, Samer RashwaniArabic NLPKnowledge Augmentation for Language Models

    College of Islamic Studies, Hamad bin Khalifa University, Doha, Qatar.

  17. Parametric Knowledge in RAG-SFT for Domain-Specific Document Generation

    Mar 24, 2026Julian Oestreich, Maximilian Bley, Frank Binder +3Retrieval-Augmented GenerationLLM Fine-Tuning

    Institute for Applied Informatics (InfAI) at Leipzig University · CELUS GmbH, Munich

  18. Hierarchical Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text

    Mar 24, 2026Filippo Morbiato, Markus Keller, Priya Nair +1Retrieval-Augmented GenerationCyber Threat Intelligence

    University of Padua Italy

  19. Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature

    Mar 23, 2026Pouria Mortezaagha, Arya RahgozarRetrieval-Augmented GenerationBiomedical IR

    Methodological Implementation Research, Ottawa Hospital Research Institute, Ottawa, ON, Canada · School of Engineering Design and Teaching Innovation, University of Ottawa, Ottawa, ON, Canada

  20. Mixture of Demonstrations for Textual Graph Understanding and Question Answering

    Mar 23, 2026Yukun Wu, Lihui LiuGraph Retrieval-Augmented GenerationRetrieval-Augmented Generation

    Wayne State University

  21. Guideline-grounded retrieval-augmented generation for ophthalmic clinical decision support

    Mar 23, 2026Shuying Chen, Sen Cui, Zhong CaoMultimodal RAGRetrieval-Augmented Generation

    School of Artificial Intelligence and Data Science University of International Business and Economics Beijing, China · Tsinghua University Beijing, China · Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital Heidelberg University Heidelberg, Germany

  22. Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window

    Mar 23, 2026Ivan DobrovolskyiAgentic RAGLLM Hallucination Mitigation

    Walmart Global Tech, Sunnyvale, CA, USA

  23. Explainable AML Triage with LLMs: Evidence Retrieval and Counterfactual Checks

    Mar 22, 2026Dorothy Torres, Wei Cheng, Ke HuAnti-Money LaunderingAnti-Money Laundering Detection

    School of Science, Technology, Engineering and Mathematics 263 Academy Street, Room S204 Jersey City, NJ 07306 · School of Electrical Engineering and Computer Science, The Pennsylvania State University, 207 Electrical Engineering West, University Park, PA 16802, USA

  24. PAVE: Premise-Aware Validation and Editing for Retrieval-Augmented LLMs

    Mar 21, 2026Tianyi Huang, Caden Yang, Emily Yin +2Evidence-Grounded QALLM Answer Verification

    Ryquo · App-In Club

  25. From 50% to Mastery in 3 Days: A Low-Resource SOP for Localizing Graduate-Level AI Tutors via Shadow-RAG

    Mar 21, 2026Zonglin Yang, J. -H. Xie, Lining Zhang +2Generative AI in EducationIntelligent Tutoring Systems

    School of Mechanics and Engineering Science, Peking University, Beijing, 100871, China · Readraft Intelligent Technology Co., Ltd., China · Graduate School of Education, Peking University, Beijing, 100871, China +1

  26. DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering

    Mar 19, 2026Yilin Wang, Yuchun Fan, Jiaoyang Li +5Multi-Hop QAMultilingual QA

    School of Computer Science and Engineering, Northeastern University, Shenyang, China · NiuTrans Research, Shenyang, China

  27. Hypothesis-Conditioned Query Rewriting for Decision-Useful Retrieval

    Mar 19, 2026Hangeol Chang, Changsun Lee, Seungjoon Rho +2Retrieval-Augmented GenerationQuery Reformulation

    Graduate School of AI, KAIST, Republic of Korea · School of Electrical Engineering, KAIST, Republic of Korea · Department of Industrial Engineering, Yonsei University, Republic of Korea

  28. HCAG: Hierarchical Abstraction and Retrieval-Augmented Generation on Theoretical Repositories with LLMs

    Mar 19, 2026Yusen Wu, Xiaotie DengRepository-Level Code GenerationRetrieval-Augmented Generation

  29. TopoChunker: Topology-Aware Agentic Document Chunking Framework

    Mar 19, 2026Xiaoyu LiuDocument ChunkingStructured RAG

    Independent Researcher, Beijing, China

  30. Retrieval-Augmented LLMs for Security Incident Analysis

    Mar 18, 2026Xavier Cadet, Aditya Vikram Singh, Harsh Mamania +6CybersecurityDigital Forensics

    Dartmouth College Hanover, NH, USA · Northeastern University Boston, MA, USA · PUNCH Cyber Analytics Reston, VA, USA