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T07. Structured output, schema validation, and document understanding

Research on forcing machine-checkable output and reading business documents.

  1. T07-11Similar problemSince 2025

    JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models

    Authors
    Saibo Geng, Hudson Cooper, Michał Moskal, Samuel Jenkins, Julian Berman, Nathan Ranchin, Robert West, Eric Horvitz, Harsha Nori
    Year
    2025
    Venue
    arXiv

    Korean review of T07-11

  2. T07-3Similar problem

    TableFormer: Table Structure Understanding with Transformers

    Authors
    Ahmed Nassar, Nikolaos Livathinos, Maksym Lysak, Peter Staar
    Year
    2022
    Venue
    CVPR 2022

    Korean review of T07-3

  3. T07-5Similar problem

    FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

    Authors
    Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran
    Year
    2019
    Venue
    ICDAR 2019 OST (Workshop on Open Services and Tools for Document Analysis)

    Korean review of T07-5

  4. T07-6Similar problem

    DocVQA: A Dataset for VQA on Document Images

    Authors
    Minesh Mathew, Dimosthenis Karatzas, C.V. Jawahar
    Year
    2021
    Venue
    WACV 2021

    Korean review of T07-6

  5. T07-12Similar problem

    Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance

    Authors
    Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen
    Year
    2024
    Venue
    EMNLP 2024 Industry Track

    Korean review of T07-12

  6. T07-13Similar problem

    Grammar-Aligned Decoding

    Authors
    Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick, Nadia Polikarpova, Loris D'Antoni
    Year
    2024
    Venue
    NeurIPS 2024

    Korean review of T07-13

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