Summary of Pron Vs Prompt: Can Large Language Models Already Challenge a World-class Fiction Author at Creative Text Writing?, by Guillermo Marco et al.
Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?
by Guillermo Marco, Julio Gonzalo, Ramón del Castillo, María Teresa Mateo Girona
First submitted to arxiv on: 1 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study investigates the capabilities of Large Language Models (LLMs) in creative writing by pitting them against a renowned novelist. The experiment involves two tasks: generating thirty title options each, followed by writing short stories based on both their own titles and those generated by their opponent, GPT-4 or Patricio Pron. A manual assessment rubric inspired by Boden’s definition of creativity is used to evaluate the quality of the written stories. The results show that LLMs are still far from challenging top human creative writers, suggesting that reaching such a level of autonomous creative writing skills may require more than just increasing the size of language models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study compares a top novelist with a large language model (LLM) in creative writing. They both came up with thirty title ideas and wrote short stories based on their own titles and each other’s. A team of literature experts then judged how good the stories were. The results show that LLMs are not yet as good as a top human writer, so we can’t just rely on bigger language models to create great writing. |
Keywords
» Artificial intelligence » Gpt » Large language model
