2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2025★ 1 cited
Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models
Max Peeperkorn, Tom Kouwenhoven, Dan Brown +1
Instruction-tuning large language models (LLMs) reduces the diversity of their outputs, which has implications for many tasks, particularly for creative tasks. This paper investiga…
cs.CL2024
Searching for Structure: Investigating Emergent Communication with Large Language Models
Tom Kouwenhoven, Max Peeperkorn, Tessa Verhoef
Human languages have evolved to be structured through repeated language learning and use. These processes introduce biases that operate during language acquisition and shape lingui…
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…