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most citedTowards Reproducible LLM Evaluation: Quantifying Uncertainty in LLM Benchmark Scores

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cs.CL2025

Evaluating the Ability of Large Language Models to Reason about Cardinal Directions, Revisited

Anthony G Cohn, Robert E Blackwell

We investigate the abilities of 28 Large language Models (LLMs) to reason about cardinal directions (CDs) using a benchmark generated from a set of templates, extensively testing a…