77 citations · 79 across the 2 of their papers we have counts for
3 papers
Pre-trained knowledge elevates large language models beyond traditional chemical reaction optimizers
Robert MacKnight, Jose Emilio Regio, Jeffrey G. Ethier +2
Modern optimization in experimental chemistry employs algorithmic search through black-box parameter spaces. Here we demonstrate that pre-trained knowledge in large language models…
Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models
Jaspreet Pannu, Doni Bloomfield, Alex Zhu +4
As a result of rapidly accelerating AI capabilities, over the past year, national governments and multinational bodies have announced efforts to address safety, security and ethics…
Emergent autonomous scientific research capabilities of large language models
Daniil A. Boiko, Robert MacKnight, Gabe Gomes
Transformer-based large language models are rapidly advancing in the field of machine learning research, with applications spanning natural language, biology, chemistry, and comput…