1 citations · 1 across the 5 of their papers we have counts for
5 papers
Scaling of Capability and Efficiency at Inference Time in Large Reasoning Models
Moritz Laber, Zohair Shafi, Germans Savcisens +6
Capability and efficiency are two key dimensions of reasoning in large language models (LLMs). Capability refers to the ability to solve a given problem correctly, whereas efficien…
Computational frame analysis revisited: On LLMs for studying news coverage
Sharaj Kunjar, Alyssa Hasegawa Smith, Tyler R Mckenzie +3
Computational approaches have previously shown various promises and pitfalls when it comes to the reliable identification of media frames. Generative LLMs like GPT and Claude are i…
One pathogen does not an epidemic make: A review of interacting contagions, diseases, beliefs, and stories
Laurent Hébert-Dufresne, Yong-Yeol Ahn, Antoine Allard +15
From pathogens and computer viruses to genes and memes, contagion models have found widespread utility across the natural and social sciences. Despite their success and breadth of…
A Misclassification Network-Based Method for Comparative Genomic Analysis
Wan He, Tina Eliassi-Rad, Samuel V. Scarpino
Classifying genome sequences based on metadata has been an active area of research in comparative genomics for decades with many important applications across the life sciences. Es…
Hypergraph Representations of scRNA-seq Data for Improved Clustering with Random Walks
Wan He, Daniel I. Bolnick, Samuel V. Scarpino +1
Analysis of single-cell RNA sequencing data is often conducted through network projections such as coexpression networks, primarily due to the abundant availability of network anal…