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Found 3 papers, 1 papers with code
ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation
We thoroughly evaluate the effectiveness of the new metric and the improved classifier.
Large Language Models are Null-Shot Learners
These differences show that it is possible to utilize null-shot prompting as a way to detect degrees of hallucination in LLMs using existing benchmarking datasets.
ChatGPT4PCG Competition: Character-like Level Generation for Science Birds
An experiment is conducted to determine the effectiveness of several modified versions of this sample prompt on level stability and similarity by testing them on several characters.
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