23 citations · 35 across the 4 of their papers we have counts for
4 papers
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery
Peter St. John, Dejun Lin, Polina Binder +89
Artificial Intelligence models encoding biology and chemistry are opening new routes to high-throughput and high-quality in-silico drug development. However, their training increas…
Beyond the training set: an intuitive method for detecting distribution shift in model-based optimization
Farhan Damani, David H Brookes, Theodore Sternlieb +5
Model-based optimization (MBO) is increasingly applied to design problems in science and engineering. A common scenario involves using a fixed training set to train models, with th…
Forecasting labels under distribution-shift for machine-guided sequence design
Lauren Berk Wheelock, Stephen Malina, Jeffrey Gerold +1
The ability to design and optimize biological sequences with specific functionalities would unlock enormous value in technology and healthcare. In recent years, machine learning-gu…