Lord-Jim/DocMMIR

386 downloads in 30 days3 likesLast modified 7 Nov 2025View on Hugging Face

The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at f7a333b
Licence files: No licence file at the top level of the repositoryEvidence: file list at f7a333b
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

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Citation text from the card

@inproceedings{li-etal-2025-docmmir,
    title = "{D}oc{MMIR}: A Framework for Document Multi-modal Information Retrieval",
    author = "Li, Zirui  and
      Wu, Siwei  and
      Li, Yizhi  and
      Wang, Xingyu  and
      Zhou, Yi  and
      Lin, Chenghua",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.findings-emnlp.705/",
    pages = "13117--13130",
    ISBN = "979-8-89176-335-7",
}

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dataset_licence({ "id": "Lord-Jim/DocMMIR" })
signal: "permissive"
stated_licence: "mit"
sources: 0