MolSC: Leveraging Substituent Contributions to Enhance Fine-grained Molecular Understanding in LLMs.

arXiv:2609.23073v1 Announce Type: cross Abstract: Recent advances in natural language processing have led to molecular Large Language Models (LLMs) with strong performance across diverse chemistry tasks. However, they still struggle to capture fine-grained str