Conceptio › Archive › arXiv (All)
arXiv (All) open access

SciExam for ENSO: Can AI Agents Build Climate Models?

Zhang, Yinling et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
artificial-intelligenceatmospheric-and-oceanic-physicsi-2-6machine-learning
Language-model agents are increasingly asked to carry out open-ended scientific research, yet their results are usually graded against a known answer, a rubric, or a language-model reviewer, none of which can tell whether a new scientific model is valid. The AI Science Exam for El Nino-Southern Osci
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1234938
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive