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cs.CL2025
Human-Alignment and Calibration of Inference-Time Uncertainty in Large Language Models
Kyle Moore, Jesse Roberts, Daryl Watson
There has been much recent interest in evaluating large language models for uncertainty calibration to facilitate model control and modulate user trust. Inference time uncertainty,…
cs.CL2025
Investigating Human-Aligned Large Language Model Uncertainty
Kyle Moore, Jesse Roberts, Daryl Watson +1
Recent work has sought to quantify large language model uncertainty to facilitate model control and modulate user trust. Previous works focus on measures of uncertainty that are th…
cs.CL2025
Basic Category Usage in Vision Language Models
Hunter Sawyer, Jesse Roberts, Kyle Moore
The field of psychology has long recognized a basic level of categorization that humans use when labeling visual stimuli, a term coined by Rosch in 1976. This level of categorizati…