most citedConfidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models

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cs.CL2024★ 1 cited

Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models

Abhishek Kumar, Robert Morabito, Sanzhar Umbet +2

As the use of Large Language Models (LLMs) becomes more widespread, understanding their self-evaluation of confidence in generated responses becomes increasingly important as it is…

cs.CL2023

Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models

Robert Morabito, Jad Kabbara, Ali Emami

Debiasing methods that seek to mitigate the tendency of Language Models (LMs) to occasionally output toxic or inappropriate text have recently gained traction. In this paper, we pr…