MolSC: Leveraging Substituent Contributions to Enhance Fine-grained Molecular Understanding in LLMs
Nov 1, 2026·
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0 min read
Dr. Alex Johnson
Sooyeon Kim
Jiwon Park
SangKeun Lee
Abstract
We propose MolSC, a method that leverages substituent contributions to enhance fine-grained molecular understanding in large language models.
Type
Publication
Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026, Main)
Authors
Dr. Alex Johnson
(he/him)
Senior AI Research Scientist
Alex Johnson is a Senior AI Research Scientist at Meta AI. His research
has been published in top conferences like NeurIPS and ICML, with over
10,000 citations. Alex is passionate about pushing the boundaries of AI
while ensuring ethical development.