3 papers
cs.CL2026
Fidelity-Diversity Metrics for Text
Amanda Wang, Tudor Manole, Florentina Bunea +1
As language modeling technology matures, there is an increasing research focus on the composition and curation of datasets used to train these models. For instance, practitioners c…
stat.ML2025
Principled Out-of-Distribution Generalization via Simplicity
Jiawei Ge, Amanda Wang, Shange Tang +1
Modern foundation models exhibit remarkable out-of-distribution (OOD) generalization, solving tasks far beyond the support of their training data. However, the theoretical principl…
cs.SI2025
Maximizing Truth Learning in a Social Network is NP-hard
Filip ÃradnÃk, Amanda Wang, Jie Gao
Sequential learning models situations where agents predict a ground truth in sequence, by using their private, noisy measurements, and the predictions of agents who came earlier in…