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This paper introduces Pattern Stability Score (PSS), a novel framework for robust watermark detection in machine-generated text, achieving 10-15 percentage point AUC improvements and generalizing across different LLMs and paraphrasers.
FunL2O presents a unified framework that uses LLM-driven program evolution to automate feature function design for learning-to-optimize methods, showing consistent improvements over hand-crafted features across continuous and discrete optimization tasks.