COMO framework uses minimum risk training for optical molecule recognition

Researchers have introduced COMO, a novel closed-loop framework for optical chemical structure recognition. This system utilizes Minimum Risk Training (MRT) to address the exposure bias inherent in traditional teacher-forcing methods. By directly optimizing for molecule-level evaluation criteria rather than token-level predictions, COMO demonstrates significant improvements over existing methods on various benchmarks, including real-world documents. AI

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IMPACT Introduces a new training paradigm for chemical structure recognition, potentially improving accuracy in document analysis.

RANK_REASON This is a research paper detailing a new method for optical chemical structure recognition.

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• COMO
• Minimum Risk Training
• SMILES
• arXiv
• Hugging Face

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