Papers with uncertainty-aware LLMs

1 papers
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes (2025.acl-long)

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Challenge: Existing models estimate and calibrate confidence of large language models with verbalized uncertainty, but they lack a careful examination of the linguistic knowledge of uncertainty encoded in the latent space of LLMs.
Approach: They draw on typological frameworks of epistemic expressions to evaluate LLMs’ knowledge of epistenetic modality, using controlled stories.
Outcome: The proposed models generate expressions matching the strength of evidence and are not robust in generating epistemic expressions.

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