TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization
Regularizes prompt optimization to limit prompt bloat and narrow, sample-specific rules. Combines gradient purification, semantic edit regularization, and regularization-guided updates to improve out-of-distribution generalization.
May 20, 2026
Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
Sharpness-aware prompt evolution optimizes prompts for both performance and robustness by penalizing sharp regions in the prompt loss landscape, yielding prompts that transfer better across tasks and LLM families.
Apr 23, 2026