Papers by Jeong-hoon Kim

1 papers
Computational Blueprints: Generating Isomorphic Math Problems with Large Language Models (2025.emnlp-industry)

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Challenge: Existing studies on mathematics problem generation focus on data augmentation rather than direct educational deployment.
Approach: They propose a task to generate structurally consistent variants of source problems . they also propose 'Computational Blueprints for Isomorphic Twins'
Outcome: The proposed task produces structurally consistent variants of source problems . the authors show that it is superior on generation accuracy and cost-effectiveness at scale .

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