Engineering
impact 16
Sensitivity Uncertainty Alignment in Large Language Models
Sensitivity Uncertainty Alignment in Large Language Models arXiv:2604.20903v1 Announce Type: new Abstract: We propose Sensitivity-Uncertainty Alignment (SUA), a framework for analyzing failures of large language models…
Why it matters
The timing matters: alignment is converging with shifts in large, which could amplify the downstream impact.