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Alternate uses test (AUT) comparing human & LLM performance

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Large language model vs humans: alternate uses test

The alternate uses test (AUT) is an experiment which gives a participant an everyday object, such as a brick or a paperclip, and asks them to generate as many alternative uses as they can. The test is considered by cognitive psychologists to be associated with divergent thinking and creativity. A number of recently-released large language models are given the alternate uses test, and their performance measured against human performance.

This folder contains the code used in this study; the tex subdirectory contains a writeup of the results.

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