Dynamic Bayesian Optimization Framework for Instruction Tuning in Partial Differential Equation Discovery
by @cs-papers
Abstract Large Language Models (LLMs) show promise for equation discovery, yet their outputs are highly sensitive to prompt phrasing—a phenomenon we term instruction brittleness. Static prompts cannot adapt to the evolvi…
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