mlsanityData to 7 Oct 2026

Bits of Grass: Does GPT already know how to write like Whitman?

arXiv 2305.11064 ↗First posted 10 May 2023cs.CLcited by 13

Not on the map. Why?

Abstract (arXiv)

This study examines the ability of GPT-3.5, GPT-3.5-turbo (ChatGPT) and GPT-4 models to generate poems in the style of specific authors using zero-shot and many-shot prompts (which use the maximum context length of 8192 tokens). We assess the performance of models that are not fine-tuned for generating poetry in the style of specific authors, via automated evaluation. Our findings indicate that without fine-tuning, even when provided with the maximum number of 17 poem examples (8192 tokens) in the prompt, these models do not generate poetry in the desired style.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 3 of its 12 references that are in the map. First posted on arXiv 10 May 2023.

Builds on

3 of 12 references.

References · 3

  1. 2022Large Language Models are Zero-Shot Reasonerscited by 4,323
  2. 2021Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigmcited by 599
  3. 2023Evaluating Verifiability in Generative Search Enginescited by 297

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 7; 2025: 2; 2026: 2.

13 papers.

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