The benchmark comprises of 161 programming problems To measure this ability in machine learning models, we introduce math, a new dataset of 12,500 challenging competition mathematics problems Our analysis yields a novel robustness metric called clever, which is short for cross lipschitz extreme value for network robustness
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Across evaluated tasks, rahp yields compact models with stronger clever lower bounds and minimal change in clean accuracy, and it improves resistance to a wide variety of strong attacks
Many intellectual endeavors require mathematical problem solving, but this skill remains beyond the capabilities of computers
