Frank Binder

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2022

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CRASS: A Novel Data Set and Benchmark to Test Counterfactual Reasoning of Large Language Models
Jörg Frohberg | Frank Binder
Proceedings of the Thirteenth Language Resources and Evaluation Conference

We introduce the CRASS (counterfactual reasoning assessment) data set and benchmark utilizing questionized counterfactual conditionals as a novel and powerful tool to evaluate large language models. We present the data set design and benchmark. We test six state-of-the-art models against our benchmark. Our results show that it poses a valid challenge for these models and opens up considerable room for their improvement.
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