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T06. RAG, knowledge graphs, ontologies, and provenance

Retrieval-augmented generation and structured knowledge with traceable sources.

  1. T06-1Structural parallel

    Dense Passage Retrieval for Open-Domain Question Answering

    Authors
    Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
    Year
    2020
    Venue
    EMNLP 2020, pp. 6769-6781

    Korean review of T06-1

  2. T06-3Structural parallel

    Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

    Authors
    Gautier Izacard, Edouard Grave
    Year
    2021
    Venue
    EACL 2021, pp. 874-880

    Korean review of T06-3

  3. T06-5Structural parallel

    From Local to Global: A Graph RAG Approach to Query-Focused Summarization

    Authors
    Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson
    Year
    2025
    Venue
    arXiv, Microsoft Research (v1 2024-04-24, v2 2025-02-19)

    Korean review of T06-5

  4. T06-7Structural parallel

    Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

    Authors
    Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi
    Year
    2024
    Venue
    ICLR 2024

    Korean review of T06-7

  5. T06-8Structural parallel

    Enabling Large Language Models to Generate Text with Citations

    Authors
    Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen
    Year
    2023
    Venue
    EMNLP 2023, pp. 6465-6488

    Korean review of T06-8

  6. T06-10Structural parallel

    Provenance Semirings

    Authors
    Todd J. Green, Grigoris Karvounarakis, Val Tannen
    Year
    2007
    Venue
    PODS 2007 (ACM SIGMOD-SIGACT-SIGART Principles of Database Systems), pp. 31-40

    Korean review of T06-10

  7. T06-11Structural parallel

    Provenance in Databases: Why, How, and Where

    Authors
    James Cheney, Laura Chiticariu, Wang-Chiew Tan
    Year
    2009
    Venue
    Foundations and Trends in Databases vol. 1 no. 4, 2009, pp. 379-474

    Korean review of T06-11

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