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AI makes human-like reasoning mistakes - EurekAlert
Large language models (LMs) can complete abstract reasoning tasks, but they are susceptible to many of the same types of mistakes made by humans. According to the authors, LMs trained on human data seem to exhibit some human foibles in terms of reasoning—and, like humans, may require formal training to improve their logical reasoning performance.
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