2 papers
cs.CL2025
Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story
Vladislav Pedashenko, Laida Kushnareva, Yana Khassan Nibal +5
Intrinsic dimension (ID) is an important tool in modern LLM analysis, informing studies of training dynamics, scaling behavior, and dataset structure, yet its textual determinants…
eess.SY2024
Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks
Joe Gorka, Tim Hsu, Wenting Li +2
Higher variability in grid conditions, resulting from growing renewable penetration and increased incidence of extreme weather events, has increased the difficulty of screening for…