2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Can Large Language Models Outperform Non-Experts in Poetry Evaluation? A Comparative Study Using the Consensual Assessment Technique
Piotr Sawicki, Marek Grześ, Dan Brown +1
This study adapts the Consensual Assessment Technique (CAT) for Large Language Models (LLMs), introducing a novel methodology for poetry evaluation. Using a 90-poem dataset with a…
cs.CL2023★ 2 cited
Bits of Grass: Does GPT already know how to write like Whitman?
Piotr Sawicki, Marek Grzes, Fabricio Goes +3
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…
cs.AI2022★ 2 cited
Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges
Fabricio Goes, Zisen Zhou, Piotr Sawicki +2
This paper presents the Crowd Score, a novel method to assess the funniness of jokes using large language models (LLMs) as AI judges. Our method relies on inducing different person…