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README.md
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library_name: transformers
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configs:
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- config_name: default
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tags:
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- not-for-all-audiences
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extra_gated_prompt: >-
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By filling out the form below I understand that LlavaGuard is a derivative
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model based on webscraped images and the SMID dataset that use individual
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Please cite and share our work if you use it or find it useful. The first three authors contributed equally.
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```bibtex
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@incollection{helff2024llavaguard,
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}
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```
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library_name: transformers
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configs:
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- config_name: default
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extra_gated_prompt: >-
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By filling out the form below I understand that LlavaGuard is a derivative
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model based on webscraped images and the SMID dataset that use individual
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Please cite and share our work if you use it or find it useful. The first three authors contributed equally.
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```bibtex
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@incollection{helff2024llavaguard,
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crossref = { https://ml-research.github.io/human-centered-genai/projects/llavaguard/index.html },
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key = { Best Runner-Up Paper Award at NeurIPS RBFM 2024 },
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booktitle = { Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops and Working Notes of the NeurIPS 2024 Workshop on Responsibly Building the Next Generation of Multimodal Foundational Models (RBFM) },
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year = { 2024 },
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author = { Lukas Helff and Felix Friedrich and Manuel Brack and Patrick Schramowski and Kristian Kersting },
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title = { LLAVAGUARD: VLM-based Safeguard for Vision Dataset Curation and Safety Assessment }
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}
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```
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