The paper presents OpenEstimate, a multi-domain benchmark showing that six frontier LLMs produce inaccurate and overconfident probabilistic priors on numerical estimation tasks that require synthesizing background information.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data
The paper presents OpenEstimate, a multi-domain benchmark showing that six frontier LLMs produce inaccurate and overconfident probabilistic priors on numerical estimation tasks that require synthesizing background information.