EVE: A Domain-Specific LLM Framework for Earth Intelligence

View PDF HTML (experimental) Abstract:We introduce Earth Virtual Expert (EVE), the first open-source, end-to-end initiative for developing and deploying domain-specialized LLMs for Earth Intelligence. At its core is EVE-Instruct, a domain-adapted 24B model built on Mistral Small 3.2 and optimized for reasoning and question answering. On newly constructed Earth Observation and Earth Sciences benchmarks, it outperforms comparable models while preserving general capabilities. We release curated training corpora and the first systematic domain-specific evaluation benchmarks, covering MCQA, open-ended QA, and factuality. EVE further integrates RAG and a hallucination-detection pipeline into a production system deployed via API and GUI, supporting 350 pilot users so far. All models, datasets, and code are ready to be released under open licenses as contributions to our field at this http URL and this http URL. Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI) Cite as: arXiv:2604.13071 [cs.CL] (or arXiv:2604.13071v1 [cs.CL] for this version) https://doi.org/10.48550/arXiv.2604.13071 arXiv-issued DOI via DataCite Submission history From: Àlex R. Atrio [view email] [v1] Fri, 20 Mar 2026 13:35:05 UTC (550 KB)