From answers to interpretations: rethinking ambiguity-induced aleatoric uncertainty estimation in LLMs
Read the original at arxiv.org→arXiv:2609.04543v1 Announce Type: new Abstract: A key challenge in reliable LLM deployment is recognizing when uncertainty reflects irreducible variability in the task rather than limitations in the model's...
Original headline: "From Answers to Interpretations: Rethinking Ambiguity-Induced Aleatoric Uncertainty Estimation in LLMs"
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- Sep 7, 04:00 UTC arXiv cs.AI lead source From Answers to Interpretations: Rethinking Ambiguity-Induced Aleatoric Uncertainty Estimation in LLMs