Papers by Jinwoo Nam
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 . |
Training Text-to-Molecule Models with Context-Aware Tokenization (2025.findings-emnlp)
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| Challenge: | Text-to-molecule models have shown great potential across chemical applications . however, they rely on atom-level tokenizations, which limiting the ability of models to capture global structural context within molecules. |
| Approach: | They propose a text-to-molecule model that uses substructure-level tokenizations to model global connectivity. |
| Outcome: | The proposed model outperforms state-of-the-art models using only 2% of training tokens. |