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References (13)

[1]
StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs
2025Jialin Yang, Dongfu Jiang et al.
[2]
RealKIE: Five Novel Datasets for Enterprise Key Information Extraction
2024Benjamin Townsend, Madison May et al.
[3]
SGLang: Efficient Execution of Structured Language Model Programs
2023Lianmin Zheng, Liangsheng Yin et al.
[4]
Nougat: Neural Optical Understanding for Academic Documents
2023Lukas Blecher, Guillem Cucurull et al.
[5]
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
2023Yujia Qin, Shi Liang et al.
[6]
VRDU: A Benchmark for Visually-rich Document Understanding
2022Zilong Wang, Yichao Zhou et al.
[7]
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation
2022B. Pfitzmann, Christoph Auer et al.
[8]
ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning
2022Ahmed Masry, Do Xuan Long et al.
[9]
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts
2021Tomasz Stanislawek, Filip Grali'nski et al.
[10]
DocVQA: A Dataset for VQA on Document Images
2020Minesh Mathew, Dimosthenis Karatzas et al.
[11]
Assessing the Impact of OCR Quality on Downstream NLP Tasks
2020Daniel Alexander van Strien, K. Beelen et al.
[12]
CORD: A Consolidated Receipt Dataset for Post-OCR Parsing
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