Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
The integration of biomolecular modeling with natural language (BL) has emerged as a
promising interdisciplinary area at the intersection of artificial intelligence, chemistry and …
promising interdisciplinary area at the intersection of artificial intelligence, chemistry and …
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension
Recently, Large Language Models (LLMs) with their strong task-handling capabilities have
shown remarkable advancements across a spectrum of fields, moving beyond natural …
shown remarkable advancements across a spectrum of fields, moving beyond natural …
Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule
Y **ao, X Zhou, Q Liu, L Wang - arxiv preprint arxiv:2403.13830, 2024 - arxiv.org
Artificial intelligence has demonstrated immense potential in scientific research. Within
molecular science, it is revolutionizing the traditional computer-aided paradigm, ushering in …
molecular science, it is revolutionizing the traditional computer-aided paradigm, ushering in …
Inconsistency of LLMs in Molecular Representations
Large language models (LLMs) have shown promising potential across diverse chemistry
tasks, including forward reaction prediction, retrosynthesis, and property prediction …
tasks, including forward reaction prediction, retrosynthesis, and property prediction …