19 citations · 20 across the 2 of their papers we have counts for
4 papers
Distillation, Self-Training, and the Fragility of Learned Chemical Reasoning
Anagha Aneesh, Sebastian Ibarraran, Frank Hu +2
Automating synthesis planning for small-molecule drug design requires chemical reasoners that are accurate as well as open to inspection and adaptation, yet frontier language model…
Generative modeling of intrinsically disordered protein regions by reinforcing sparse autoencoder features
Jason X. Liu, Sebastian Ibarraran, Frank Hu +7
Intrinsically disordered protein regions (IDRs) play central roles in cellular processes such as transcriptional regulation, signal transduction, and subcellular localization, yet…
General-Purpose Models for the Chemical Sciences: LLMs and Beyond
Nawaf Alampara, Anagha Aneesh, Martiño Ríos-García +6
Data-driven techniques have a large potential to transform and accelerate the chemical sciences. However, chemical sciences also pose the unique challenge of very diverse, small, f…
Are large language models superhuman chemists?
Adrian Mirza, Nawaf Alampara, Sreekanth Kunchapu +32
Large language models (LLMs) have gained widespread interest due to their ability to process human language and perform tasks on which they have not been explicitly trained. Howeve…