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A machine learning predictor in BOOSTEDSOSA slashes runtime estimation errors by up to 63.85%, revolutionizing scheduling efficiency in high-performance computing.
GRCS reveals that traditional evaluation methods can inflate perceived reasoning accuracy, exposing a critical gap in how we assess LLMs' logical validity.
