RAG Robustness

RAG: Retrieval-Augmented Generation

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Overview

This field studies how retrieval-augmented generation systems behave when evidence is noisy, stale, missing, contradictory, or deliberately poisoned, and when queries or conversations vary. Common approaches detect and filter unreliable documents, rerank by trust or provenance, verify claims against evidence, and teach models to select evidence or abstain when support is weak. Researchers evaluate these methods with controlled corruption and poisoning tests, as well as benchmarks for uncertainty, query variation, multimodal inputs, and multi-turn use. A central tension is that stronger retrieval or stricter filtering can improve resistance to misleading evidence but also discard useful context, add cost, or still fail to ensure that detected conflicts are resolved safely.

Latest papers

CardsList

128 papers19 papers in the last four weeks, down 5% on the four weeks before. 0.1% of all new papers.

  1. CodaRAG: Connecting the Dots with Associativity Inspired by Complementary Learning

    Apr 12, 2026Cheng-Yen Li, Xuanjun Chen, Claire Lin +4Retrieval-Augmented GenerationGraph Retrieval-Augmented Generation

    National Taiwan University, Taipei, Taiwan · NTU Artificial Intelligence Center of Research Excellence, National Taiwan University.

  2. A Survey of Secure Retrieval-Augmented Generation

    Apr 9, 2026Yuming Xu, Mingtao Zhang, Zhuohan Ge +7RAG SecurityRAG Robustness

    The Hong Kong Polytechnic University · The Hong Kong University of Science and Technology (Guangzhou)

  3. DCD: Domain-Oriented Design for Controlled Retrieval-Augmented Generation

    Apr 8, 2026Valerii Kovalskii, Nikita Belov, Nikita Miteyko +2Retrieval-Augmented GenerationRAG Robustness

    red_mad_robot

  4. LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment

    Apr 7, 2026Zhe Yu, Wenpeng Xing, Meng HanLLM AuditingRAG Evaluation

    Binjiang Institute of Zhejiang University · Communication University of Zhejiang · Zhejiang University

  5. Where Does Robustness Live? Neuron-Guided Adaptation for Retrieval-Augmented Language Models

    Apr 2, 2026Jae O Lee, Jaemin Kim, Sumyeong Ahn +1Retrieval-Augmented GenerationFine-Tuning

    1Hanyang University · 2KENTECH

  6. CogRAG: Tackling Heterogeneous Cognitive Demands in RAG via Stratified Retrieval and Reasoning

    Apr 1, 2026Xudong Wang, Zilong Wang, Kui Su +1Structured Reasoning in Language ModelsAdaptive RAG

    School of Computer and Computing Science, Hangzhou City University, Hangzhou, Zhejiang 310015, China · Institute of Digital Twin, Eastern Institute of Technology, Ningbo, Zhejiang 315200, China · Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, Zhejiang 314100, China

  7. RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems

    Apr 1, 2026KrishnaSaiReddy PatilRAG SecurityRAG Robustness

  8. Mitigating Hallucination on Hallucination in RAG via Ensemble Voting

    Mar 28, 2026Zequn Xie, Zhengyang SunHallucination in RAGLLM Hallucination Mitigation

    Polytechnic Institute, Zhejiang University, Hangzhou, China · School of Computer Science and Technology, Xinjiang University, Urumqi, China

  9. OThink-SRR1: Search, Refine and Reasoning with Reinforced Learning for Large Language Models

    Mar 27, 2026Haijian Liang, Zenghao Niu, Junjie Wu +3RL for RAGAgentic RAG

    Shenzhen University · OPPO Research Institute

  10. PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented Generation Systems

    Mar 26, 2026Haozhen Wang, Haoyue Liu, Jionghao Zhu +3RAG Poisoning AttacksRAG Robustness

    The Chinese University of Hong Kong, Shenzhen · Taobao and Tmall Group

  11. 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

  12. MARCH: Multi-Agent Reinforced Self-Check for LLM Hallucination

    Mar 25, 2026Zhuo Li, Yupeng Zhang, Pengyu Cheng +8LLM Hallucination MitigationLLM Hallucination Detection

    Qwen Large Model Application Team, Alibaba · The Chinese University of Hong Kong, Shenzhen

  13. 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

  14. ProGRank: Probe-Gradient Reranking to Defend Dense-Retriever RAG from Corpus Poisoning

    Mar 24, 2026Xiangyu Yin, Yi Qi, Chih-Hong ChengRAG SecurityRAG Poisoning Attacks

    Chalmers University of Technology, Sweden · University of Leeds, United Kingdom · Carl von Ossietzky University of Oldenburg, Germany

  15. Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks

    Mar 23, 2026Yanming Mu, Hao Hu, Feiyang Li +7RAG SecurityRAG Robustness

    State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, 450001, China. · Information Engineering University, Zhengzhou, 450001, China. · Henan Key Laboratory of Information Security, Zhengzhou, 450001, China. +1

  16. Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models

    Mar 18, 2026Jaemin Kim, Jong Chul YeAdaptive RAGRAG Robustness

    Graduate School of AI, KAIST, Republic of Korea

  17. Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights

    Mar 17, 2026Yi Chen, Daiwei Chen, Sukrut Madhav Chikodikar +2LLM ReliabilityRAG Evaluation

    University of Wisconsin-Madison

  18. Open-Source Reproduction and Explainability Analysis of Corrective Retrieval Augmented Generation

    Mar 17, 2026Surya Vardhan YalavarthiRetrieval-Augmented GenerationRAG Robustness

    College of Engineering and Applied Science, University of Cincinnati

  19. Selective Memory for Artificial Intelligence: Write-Time Gating with Hierarchical Archiving

    Mar 16, 2026Oliver Zahn, Simran ChanaMemory-Augmented Language ModelsPersistent Memory for Language Models

    Independent Researcher · University of Cambridge

  20. LiteSemRAG: Lightweight LLM-Free Semantic-Aware Graph Retrieval for Robust RAG

    Mar 16, 2026Xiao Yue, Guangzhi Qu, Lige GanGraph Retrieval-Augmented GenerationGraph-Based Retrieval

    Oakland University, Rochester Hills, MI 48309, USA

  21. Semantic Chameleon: Corpus-Dependent Poisoning Attacks and Defenses in RAG Systems

    Mar 10, 2026Scott ThorntonRAG Poisoning AttacksRAG Security

    Independent Researcher

  22. Reason and Verify: A Framework for Faithful Retrieval-Augmented Generation

    Mar 10, 2026Eeham Khan, Luis Rodriguez, Marc QueudotRAG Citation FaithfulnessRetrieval-Augmented Generation

    Concordia University, Montréal, QC, Canada · Centre de recherche informatique de Montréal (CRIM), Montréal, QC, Canada

  23. SoK: Agentic Retrieval-Augmented Generation (RAG): Taxonomy, Architectures, Evaluation, and Research Directions

    Mar 7, 2026Saroj Mishra, Suman Niroula, Umesh Yadav +3Agentic RAGRAG Robustness

    University of North Dakota · Youngstown State University · University of Toledo +2

  24. Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis

    Mar 5, 2026Hazem Amamou, Stéphane Gagnon, Alan Davoust +1RAG RobustnessGraph Retrieval-Augmented Generation

    Institut national de la recherche scientifique (INRS-EMT), Montréal, Québec, Canada · INRS-UQO Mixed Research Unit on Cybersecurity, Gatineau, Québec, Canada · Université du Québec en Outaouais, Gatineau, Québec, Canada

  25. Coordinated Semantic Alignment and Evidence Constraints for Retrieval-Augmented Generation with Large Language Models

    Mar 4, 2026Xin Chen, Saili Uday Gadgil, Jiarong QiuRetrieval-Augmented GenerationEvidence-Grounded Generation

    Cornell University, Ithaca, USA · Virginia polytechnic institute and state University, Blacksburg, USA · University of Southern California, Los Angeles, USA

  26. URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models

    Mar 2, 2026Vinh Nguyen, Cuong Dang, Jiahao Zhang +6Retrieval-Augmented GenerationRAG Evaluation

    Uppsala University · Virginia Tech · The Pennsylvania State University +5

  27. The Synthetic Web: Adversarially-Curated Mini-Internets for Diagnosing Epistemic Weaknesses of Language Agents

    Feb 28, 2026Shrey Shah, Levent OzgurAdversarial Robustness of Language ModelsAI Agent Benchmarks

  28. Multimodal Adaptive Retrieval Augmented Generation through Internal Representation Learning

    Feb 28, 2026Ruoshuang Du, Xin Sun, Qiang Liu +4Multimodal RAGAdaptive RAG

    Shanghaitech University School of Information Science and Technology · Chinese Academy of Sciences Institute of Automation · Ant Group

  29. Hidden in the Metadata: Stealth Poisoning Attacks on Multimodal Retrieval-Augmented Generation

    Feb 26, 2026Kennedy Edemacu, Mohammad Mahdi ShokriRAG Poisoning AttacksMultimodal RAG

    The City University of New York, CSI, Staten Island, NY 10314, USA · The City University of New York, Graduate Center, New York, NY 10016, USA

  30. RobustVisRAG: Causality-Aware Vision-Based Retrieval-Augmented Generation under Visual Degradations

    Feb 25, 2026I-Hsiang Chen, Yu-Wei Liu, Tse-Yu Wu +3RAG RobustnessMultimodal RAG

    National Taiwan University · Microsoft