Finetuning Language Models to Emit Linguistic Expressions of Uncertainty
Large language models (LLMs) are increasingly employed in information-seeking and decision-making tasks. Despite their broad utility, LLMs tend to generate information that conflicts with real-world facts, and their persuasive style can make these inaccuracies appear confident and convincing. As a r...
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Main Authors | , , |
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Format | Journal Article |
Language | English |
Published |
18.09.2024
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Subjects | |
Online Access | Get full text |
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