Bridging the Gap Between Molecule and Textual Descriptions via Substructure-aware Alignment
Nov 1, 2025·
·
0 min read
Dr. Alex Johnson
Equal contribution
,Yeachan Kim
Equal contribution
,SangKeun Lee
Abstract
We propose a substructure-aware alignment approach to bridge the gap between molecular and textual representations.
Type
Publication
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025, 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.