llm-generalization

The paper introduces TextReg, a regularization framework for text-space prompt optimization that mitigates prompt distributional overfitting via dual-evidence gradient purification and semantic edit regularization, yielding up to +11.8% over TextGrad and +16.5% over REVOLVE on out-of-distribution reasoning benchmarks.