GPT-4 matches human performance on analogical reasoning tasks, study shows

This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility: Can large language models (LLMs) reason by analogy? Some outputs suggest that they can, but it has been argued that these results reflect mimicry of the results of analogical reasoning in the models' training data. To test this claim, LLMs have been asked to solve counterfactual problems that are unlikely to be similar to problems in training data sets. Here is an example: Let's solve...