Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs
Gabriel Freedman; Francesca Toni · 2025 · The International FLAIRS Conference Proceedings
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Advances in the general capabilities of large language models (LLMs) have led to their use for information retrieval, and as components in automated decision systems. A faithful representation of probabilistic reasoning in these models may…
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Metadata source: Crossref · DOI 10.32473/flairs.38.1.138892