MolSC: Leveraging Substituent Contributions to Enhance Fine-grained Molecular Understanding in LLMs
We propose MolSC, a method that leverages substituent contributions to enhance fine-grained molecular understanding in large language models.
We propose MolSC, a method that leverages substituent contributions to enhance fine-grained molecular understanding in large language models.
We propose a substructure-aware alignment approach to bridge the gap between molecular and textual representations.