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20232026
most citedUncertainty in Natural Language Generation: From Theory to Applications

7 citations · 7 across the 5 of their papers we have counts for

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cs.AI2026

A Tale of Two Error Categories: Exploring Concealed Trade-Offs in the Errors of Automated Judges in Evaluation of Uncertainty Quantifiers

Evgenia Ilia, Wilker Aziz

The wide adoption of LLMs across broad NLG applications heightens the importance of providing users with the means to avert errors and hallucinations. Uncertainty quantification is…