2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2025
Don't Think Twice! Over-Reasoning Impairs Confidence Calibration
Romain Lacombe, Kerrie Wu, Eddie Dilworth
Large Language Models deployed as question answering tools require robust calibration to avoid overconfidence. We systematically evaluate how reasoning capabilities and budget affe…
cs.LG2023★ 2 cited
ClimateX: Do LLMs Accurately Assess Human Expert Confidence in Climate Statements?
Romain Lacombe, Kerrie Wu, Eddie Dilworth
Evaluating the accuracy of outputs generated by Large Language Models (LLMs) is especially important in the climate science and policy domain. We introduce the Expert Confidence in…