1 citations · 1 across the 4 of their papers we have counts for
4 papers
How many patients could we save with LLM priors?
Shota Arai, David Selby, Andrew Vargo +1
Imagine a world where clinical trials need far fewer patients to achieve the same statistical power, thanks to the knowledge encoded in large language models (LLMs). We present a n…
Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences
Selina Heller, Mohamed Ibrahim, David Antony Selby +1
Decision conferences are structured, collaborative meetings that bring together experts from various fields to address complex issues and reach a consensus on recommendations for f…
IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)
Siyi Sun, David Antony Selby, Yunchuan Huang +3
Missing data imputation in tabular datasets remains a pivotal challenge in data science and machine learning, particularly within socioeconomic research. However, real-world socioe…
Exploring the Alignment of Perceived and Measured Sleep Quality with Working Memory using Consumer Wearables
Peter Neigel, David Antony Selby, Shota Arai +5
Wearable devices offer detailed sleep-tracking data. However, whether this information enhances our understanding of sleep or simply quantifies already-known patterns remains uncle…