RAG Evaluation

RAG: Retrieval-Augmented Generation

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28 papers in the last four weeks, up 87% on the four weeks before. 0.3% of all new papers.

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  1. Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis

    Apr 15, 2026Arthur Capozzi, Dirk HelbingKG ConstructionEntity Resolution

    Computational Social Science, ETH Zurich, Zurich, Switzerland · Complexity Science Hub, Vienna, Austria

  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. Rethinking Evaluation in Retrieval-Augmented Personalized Dialogue: A Cognitive and Linguistic Perspective

    Mar 15, 2026Tianyi Zhang, David TraumRAG EvaluationConversational Agents

    Institute for Creative Technologies, University of Southern California 12015 Waterfront Drive, Los Angeles, CA 90094-2536, USA

  4. AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG

    Feb 22, 2026Qijie You, Wenkai Yu, Wentao ZhangMulti-Hop QALLM Agent Evaluation

    University of Science and Technology Beijing · 2Peking University · 3Zhongguancun Academy +1

  5. Quantifying Retriever-Generator Alignment in RAG with Local Explanations

    Jan 29, 2026Korbinian Randl, Guido Rocchietti, Aron Henriksson +3Gradient-Based AttributionRetrieval-Augmented Generation

    Department of Computer and Systems Sciences, Stockholm University, Sweden · BIFOLD, Technische Universität Berlin, Germany · Department of Informatics, Athens University of Economics and Business, Greece +1

  6. MTRACE: Multilingual Retrieval-Augmented Generation for Temporally Diverse Text Corpora

    Dec 14, 2025Souhail Bakkali, Anthony MudetRetrieval-Augmented GenerationMultilingual IR

    Univ Rennes, CNRS, IRISA - UMR 6074, Rennes, France · L3i-lab, La Rochelle Universit´e, France

  7. Ground-Truth Subgraphs for Better Training and Evaluation of Knowledge Graph Augmented LLMs

    Nov 6, 2025Alberto Cattaneo, Carlo Luschi, Daniel JustusGraph Retrieval-Augmented GenerationSynthetic Benchmark Generation

    Graphcore Research

  8. Seeing Through the MiRAGE: Evaluating Multimodal Retrieval Augmented Generation

    Oct 28, 2025Alexander Martin, William Walden, Reno Kriz +5Multimodal RAGRAG Evaluation

    Johns Hopkins University · Human Language Technology Center of Excellence

  9. Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation

    Jun 13, 2025Mahmoud Amiri, Thomas BocklitzDocument ChunkingText Embedding Evaluation

    Leibniz Institute of Photonic Technology, Albert-Einstein-Strasse 9, 07745 Jena, Germany · Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany

  10. Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family

    Apr 25, 2025Pierre-Carl Langlais, Pavel Chizhov, Mattia Nee +6Retrieval-Augmented GenerationLLM Grounding

    PleIAs, Paris, France

  11. ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

    Feb 21, 2025Pengcheng Huang, Zhenghao Liu, Yukun Yan +8Retrieval-Augmented GenerationKnowledge Conflicts in Language Models

    School of Computer Science and Engineering, Northeastern University, China · Department of Computer Science and Technology, Institute for AI, Tsinghua University, China · Microsoft Research Asia, Beijing, China +1

  12. XRAG: eXamining the Core -- Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation

    Dec 20, 2024Qili Zhang, Qianren Mao, Yangyifei Luo +15Retrieval-Augmented GenerationRAG Evaluation

    †Zhongguancun Laboratory · ∗Beihang University · ‡Nanyang Technological University +1

  13. Abstention vs. Hallucination: Benchmarking LLM Source Attribution for Scientific Citations

    May 3, 2024Deepa Tilwani, Yash Saxena, Seyedali Mohammadi +5Citation VerificationRAG Evaluation

    Artificial Intelligence Institute, University of South Carolina, Columbia, South Carolina, USA · University of Maryland, Baltimore County, Baltimore, Maryland, USA · IAIRO, India +1

  14. HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA

    Feb 1, 2024Xinyue Chen, Pengyu Gao, Jiangjiang Song +1Retrieval-Augmented GenerationDocument QA

    1Nanjing University of Aeronautics and Astronautics. · 2Southeast University, Nanjing, Jiangsu, China.