Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective

arXiv:2306.06615v2 Announce Type: replace
Abstract: Molecule discovery plays a crucial role in various scientific fields, advancing the design of tailored materials and drugs. However, most of the existing methods heavily rely on domain experts, require excessive computational cost, or suffer from sub-optimal performance. On the other hand, Large Language Models (LLMs), like ChatGPT, have shown remarkable performance in various cross-modal tasks due to their powerful capabilities in natural language understanding, generalization, and in-context learning (ICL), which provides unprecedented opportunities to …

abstract arxiv chatgpt computational cost cs.ai cs.cl design discovery domain domain experts drugs experts fields however language language models large language large language models materials performance perspective role scientific translation type