Explore, Then Commit: Measurement-Efficient Scientific Law Discovery with Language Models
An explore-then-commit protocol in which a large language model proposes hypotheses, a programmatic planner gathers measurements, and a fresh prompt synthesizes the final law from fixed observations is evaluated, supporting the complete protocol as a promising measurement-efficient configuration.
Kautik Mandve, Dileepa Fernando
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