2 citations · 2 across the 2 of their papers we have counts for
3 papers
Tracing the Scientific Discovery Capacity of LLMs to Their Training Data
Arda Uzunoglu, Mahler Revsine, Michael Schatz +4
Large language models (LLMs) show growing promise for scientific discovery, yet basic questions remain about what enables reliable discovery. How can we trace the scientific discov…
Genomic Next-Token Predictors are In-Context Learners
Nathan Breslow, Aayush Mishra, Mahler Revsine +3
In-context learning (ICL) -- the capacity of a model to infer and apply abstract patterns from examples provided within its input -- has been extensively studied in large language…
Guide to k-mer approaches for genomics across the tree of life
Katharine M. Jenike, Lucía Campos-Domínguez, Marilou Boddé +4
The wide array of currently available genomes display a wonderful diversity in size, composition and structure with many more to come thanks to several global biodiversity genomics…