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. Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts

    Jul 2, 2026Valentin J. J. Kreileder, Johannes Reisinger, Andreas FischerDocument ChunkingRetrieval-Augmented Generation

    Computer Science · Deggendorf Institute of Technology · Deggendorf, Germany

  2. What Survives Into Context: A Diagnostic for Budget-Constrained Multi-Hop RAG and When Submodular Evidence Packing Improves It

    Jul 1, 2026Ananto Nayan BalaMulti-Hop QALong-Context QA

    Ahsanullah University of Science and Technology

  3. Dual-Confidence Contrastive Decoding for Retrieval-Augmented Generation

    Jul 1, 2026Raymond Li, Md Tawkat Islam Khondaker, Amirhossein Abaskohi +3Retrieval-Augmented GenerationKnowledge Conflicts in Language Models

    ServiceNow Research · University of British Columbia

  4. One Retrieval to Cover Them All: Co-occurrence-Aware Knowledge Base Reorganization for Session-Level RAG

    Jun 30, 2026Shivam Ratnakar, Yixuan Zhu, Cecilia Cheng +1Retrieval-Augmented GenerationRAG Evaluation

    University of Southern California

  5. MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory Evaluation

    Jun 29, 2026Kuan WangAgent MemoryLLM Agent Evaluation

  6. MAM-AI: An On-Device Medical Retrieval-Augmented Generation System for Nurses and Midwives in Zanzibar

    Jun 28, 2026Yi RenRetrieval-Augmented GenerationOn-Device Language Model Inference

    École Polytechnique Fédérale de Lausanne, Switzerland

  7. mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health

    Jun 28, 2026Yi RenHealthcareMedical QA

    École Polytechnique Fédérale de Lausanne, Switzerland

  8. 5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control

    Jun 27, 2026Thien-Qua-T-Nguyen, Chi Hoang, Nguyen Tran +3Retrieval-Augmented GenerationMulti-Turn Dialogue Evaluation

    University of Information Technology, Ho Chi Minh City, Vietnam · 2Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam

  9. MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph-Augmented Generation

    Jun 24, 2026Xiaochen Wang, Bao Hoang, Han Liu +2Multimodal RAGRetrieval-Augmented Generation

    The Pennsylvania State University University Park, Pennsylvania, USA · Michigan State University East Lansing, Michigan, USA · Dalian University of Technology Dalian, Liaoning, China +1

  10. ProvenAI: Provenance-Native Traces of Evidence in Generated Answers

    Jun 24, 2026Mohammad Faizan, Dalal AlharthiMulti-Hop QAData Provenance

    College of Information Science University of Arizona

  11. Is GraphRAG Needed? From Basic RAG to Graph-/Agentic Solutions with Context Optimization

    Jun 24, 2026Long Chen, Ryan Razkenari, Yuxuan Zhou +5Retrieval-Augmented GenerationGraph Retrieval-Augmented Generation

    1Generative AI Innovation Center, Amazon Web Services (AWS) · 2Cisco Systems, Inc.

  12. To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG

    Jun 23, 2026Jungseob Lee, Chanjun Park, Heuiseok LimRetrieval-Augmented GenerationAdaptive Model Routing

    Korea University · Soongsil University

  13. Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs

    Jun 22, 2026Tianyu Ding, Aditya Nannapaneni, Juan Pablo De la Cruz WeinsteinLanguage Model Generation EvaluationLLM Auditing

    Amazon Web Services

  14. When Confidence Takes the Wrong Path: Diagnosing Retrieval-State Lock-In in RAG

    Jun 22, 2026Sahib JulkaRetrieval-Augmented GenerationRAG Evaluation

    LMU University Hospital, LMU Munich · Marchioninistr. 15, 81377 Munich

  15. Fixed RAG Compression Collapses Measured Reader Scaling

    Jun 20, 2026Sugam Panthi, Rabab AbdelfattahRetrieval-Augmented GenerationLLM Evaluation

    The University of Southern Mississippi

  16. The Token Tax of Epistemic Accuracy: Comparing RAG and Long-Context Architectures for Document-Grounded Generative AI Applications

    Jun 18, 2026Austin Hamilton, Ryan Singh, Michael Wise +6LLM GroundingLLM Inference

    Miami University · University at Buffalo

  17. When Does Streaming Tool Use Help? Characterizing Tool-Intent Stabilization in Streaming Retrieval-Augmented Generation

    Jun 18, 2026Elroy GalbraithRetrieval-Augmented GenerationInformation Retrieval

    SMG Labs

  18. HistoRAG: Embedding Historical Methodology in Retrieval-Augmented Generation Through Critical Technical Practice

    Jun 16, 2026Noah J. Kim-Baumann, Torsten HiltmannRetrieval-Augmented GenerationTemporal IR

    Humboldt-Universität zu Berlin

  19. Beyond the Reranker: Do RAG Retrieval Enhancements Help Once a Strong Reranker Is Present?

    Jun 14, 2026Sadanand Singh, Allam Reddy, Manan ChopraCross-Encoder RerankingLearning to Rank

    Cascade Research

  20. FactoryLLM: A Safe and Open-Source AI Playground for Evaluating LLMs in Smart Factories

    Jun 12, 2026Yash Pulse, Yong-Bin Kang, Abhik Banerjee +2ManufacturingLLM Evaluation

    Swinburne University of Technology, Melbourne, Australia

  21. Carolina Guide: A Multi-Agent RAG System with Institutional Guardrails for Academic Policy Assistance

    Jun 11, 2026Ben Torsion, Jun ZhouMulti-Agent LLM SystemsLLM Guardrails

    University of South Carolina, Columbia, South Carolina, USA · University of South Carolina, Columbia, USA

  22. Rethinking RAG in Long Videos: What to Retrieve and How to Use It?

    Jun 11, 2026Yuho Lee, Jisu Shin, Nicole Hee-Yeon Kim +5Multimodal RAGEgocentric Video Understanding

    KAIST, YH, Seoul, Republic of Korea · Qualcomm AI Research, Qualcomm Korea, YH, Seoul, Republic of Korea

  23. X-MADAM-RAG: Diagnosing and Handling Chinese-English Evidence Conflict in Retrieval-Augmented Generation

    Jun 11, 2026Yongqi Kang, Yu Fu, Yong ZhaoRetrieval-Augmented GenerationLLM Information Extraction

    Sichuan University, Chengdu, China

  24. SafeLLM: Extraction as a Hallucination-Resistant Alternative to Rewriting in Safety-Critical Settings

    Jun 11, 2026Julia Ive, Felix Jozsa, Evridiki Georgaki +6Retrieval-Augmented GenerationLLM Grounding

    Institute of Health Informatics, University College London, London, UK · National Hospital for Neurology and Neurosurgery, Queen Square, London, UK · Somerset NHS Foundation Trust, UK +2

  25. How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question Generation

    Jun 11, 2026Chase M. Fensore, Kaustubh Dhole, Jason Fan +2Benchmark DesignSynthetic Data Generation

    Department of Computer Science Emory University Atlanta, USA

  26. Findings of the MAGMaR 2026 Shared Task

    Jun 10, 2026Alexander Martin, Dengjia Zhang, Joel Brogan +7Multimodal RAGMultimodal Grounding

    Johns Hopkins University · OpenAI · University of Maryland, Baltimore County +4

  27. When More Documents Hurt RAG: Mitigating Vector Search Dilution with Domain-Scoped, Model-Agnostic Retrieval

    Jun 9, 2026Nabaraj Subedi, Ahmed Abdelaty, Shivanand Venkanna SheshappanavarRetrieval-Augmented GenerationAgentic RAG

    Dept. of Electrical Engineering & Computer Science University of Wyoming, Laramie, WY 82071, USA · Dept. of Civil, Architectural Engineering & Construction Management University of Wyoming, Laramie, WY 82071, USA

  28. How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation

    Jun 9, 2026Ian van Dort, Maria HeussRetrieval-Augmented GenerationLLM Interpretability

    University of Amsterdam

  29. Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X Elite

    Jun 9, 2026Zhiyuan Cheng, Longying LaiRetrieval-Augmented GenerationAI Accelerator Inference

    School of Engineering Stanford University Stanford, CA, USA · Simon Business School University of Rochester Rochester, NY, USA

  30. AbstRAG: Learning to Abstract for Retrieval Problems

    Jun 8, 2026Lei Xu, Xin Quan, Daniel Pedronette +1Retrieval-Augmented GenerationAdaptive Retrieval

    Idiap Research Institute, Switzerland · São Paulo State University, Brazil · Department of Computer Science, University of Manchester, United Kingdom +1