Diagnosing and Improving Probabilistic Reasoning in Large Language Models.

arXiv:2609.38005v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly proposed as decision assistants who must reason probabilistically from available evidence under explicit decision costs. We propose a decision-theoretic framework