AI RESEARCH
COMO: Closed-Loop Optical Molecule Recognition with Minimum Risk Training
arXiv CS.LG
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ArXi:2604.23546v1 Announce Type: cross Optical chemical structure recognition (OCSR) translates molecular images into machine-readable representations like SMILES strings or molecular graphs, but remains challenging in real-world documents due to inexhaustible variations in chemical structures, shorthand conventions, and visual noise. Most existing deep-learning-based approaches rely on teacher forcing with token-level Maximum Likelihood Estimation (MLE). This