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Coder as Editor: Code-driven Interpretable Molecular Optimization

Published in arXiv (Cornell University) • Oct 16, 2025
NobleIDNI3P93W40R40S83
Authors:
Wenyu Zhu
,
Chengzhu Li
,
Xiaohe Tian

Abstract

Molecular optimization is a central task in drug discovery that requires precise structural reasoning and domain knowledge. While large language models (LLMs) have shown promise in generating high-level editing intentions in natural language, they often struggle to faithfully execute these modificat...

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