4 citations · 8 across the 5 of their papers we have counts for
Showing 2024 · cs.CLShow all
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cs.CL2024★ 1 cited
Can Large Language Models Reason about the Region Connection Calculus?
Anthony G Cohn, Robert E Blackwell
Qualitative Spatial Reasoning is a well explored area of Knowledge Representation and Reasoning and has multiple applications ranging from Geographical Information Systems to Robot…
cs.CL2024★ 4 cited
Towards Reproducible LLM Evaluation: Quantifying Uncertainty in LLM Benchmark Scores
Robert E. Blackwell, Jon Barry, Anthony G. Cohn
Large language models (LLMs) are stochastic, and not all models give deterministic answers, even when setting temperature to zero with a fixed random seed. However, few benchmark s…
cs.CL2024★ 3 cited
Evaluating the Ability of Large Language Models to Reason about Cardinal Directions
Anthony G Cohn, Robert E Blackwell
We investigate the abilities of a representative set of Large language Models (LLMs) to reason about cardinal directions (CDs). To do so, we create two datasets: the first, co-crea…