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