Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
ArXiv:
Tags:
earth-science
named-entity-recognition
natural-language-processing
agentic-ai
multimodal
scientific-workflows
License:
Add citation file
Browse files- CITATION.cff +28 -0
CITATION.cff
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cff-version: 1.2.0
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message: If you use this work, please cite it using the following metadata.
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title: Toward Open Earth Science as Fast and Accessible as Natural Language
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authors:
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- family-names: Ellis
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given-names: Marquita
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orcid: https://orcid.org/0000-0002-4158-9101
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- family-names: Gurung
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given-names: Iksha
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orcid: https://orcid.org/0000-0001-5124-8856
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- family-names: Ramasubramanian
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given-names: Muthukumaran
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- family-names: Ramachandran
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given-names: Rahul
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date-released: '2025-05-21'
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doi: 10.48550/arXiv.2505.15690
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url: https://arxiv.org/abs/2505.15690
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version: v1
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repository-code: https://github.com/NASA-IMPACT/EO-via-NLP
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license: CC-BY-4.0
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type: article
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keywords:
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- Earth science
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- Large Language Models
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- Open science
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- Prompt optimization
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- Prompt engineering
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- Inference-time scaling
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