2 papers
stat.CO2026
Tutorial for Bayesian Factor Models
Peter Dunson, Ciprian M. Crainiceanu
Bayesian Factor Models (BFM) are well-established models that decompose the observed variability in a set of mean-zero, independent, and uncorrelated factors (random effects). Whil…
cs.CL2026
CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Models
Jon Chun, Hannah Sussman, Adrian Mangine +13
Pragmatic reasoning, inferring intended meaning beyond literal semantics, underpins everyday communication yet remains difficult for large language models. We present the Contextua…