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(Page créée avec « ==en construction== == Définition == XXXXXXXXX == Français == ''' Mol-R1''' == Anglais == '''Mol-R1''' Mol-R1 framework enhances molecule discovery by improving reasoning performance and explainability through PRID and MoIA strategies. A framework that enhances the reasoning capabilities of large language models for molecule discovery. The work addresses the challenge of generating molecular structures from text descriptions while providing clear, step-by... ») |
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Version du 18 août 2025 à 08:36
en construction
Définition
XXXXXXXXX
Français
Mol-R1
Anglais
Mol-R1
Mol-R1 framework enhances molecule discovery by improving reasoning performance and explainability through PRID and MoIA strategies. A framework that enhances the reasoning capabilities of large language models for molecule discovery. The work addresses the challenge of generating molecular structures from text descriptions while providing clear, step-by-step reasoning that mimics how chemists think about molecular design. This approach aims to make AI-driven molecule discovery more transparent and reliable for applications in drug development and materials science.
Mol-R1, an effective framework for bringing explicit reasoning capabilities to molecule discovery tasks. By combining expert-guided data generation with iterative training, the method successfully creates models that can both generate accurate molecular structures and provide interpretable reasoning traces.
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Contributeurs: Arianne Arel, wiki
