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I did some experiments last summer trying to get GPT-3 to author quizbowl questions, a type of trivia question. As expected, GPT-3's loose relationship with the truth made these results not acceptable. But a system that really could generate new questions from existing facts would be immensely useful in this domain.

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I'm not surprised GPT is awful at that, but there are good ways to do it. Look for papers on "factoid question generation".

Quizbowl questions have a particular structure that makes them generally not work with these other approaches. For instance, it needs to generate paragraph-long questions with the clues that go from the most to least difficult. This is hard skill for a human to learn, much less a machine.

Ah, that does sound difficult.

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