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We're Different, We're the Same: Creative Homogeneity Across LLMs

We're Different, We're the Same: Creative Homogeneity Across LLMs

31 January 2025
Emily Wenger
Yoed Kenett
ArXiv (abs)PDFHTML

Papers citing "We're Different, We're the Same: Creative Homogeneity Across LLMs"

6 / 6 papers shown
Title
Correlated Errors in Large Language Models
Correlated Errors in Large Language Models
Elliot Kim
Avi Garg
Kenny Peng
Nikhil Garg
36
0
0
09 Jun 2025
What happens when generative AI models train recursively on each others' generated outputs?
What happens when generative AI models train recursively on each others' generated outputs?
Hung Ahn Vu
Galen Reeves
Emily Wenger
71
0
0
27 May 2025
Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis
Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis
Niklas Holzner
Sebastian Maier
Stefan Feuerriegel
44
0
0
22 May 2025
Exploring Causes of Representational Similarity in Machine Learning Models
Exploring Causes of Representational Similarity in Machine Learning Models
Zeyu Michael Li
Hung Anh Vu
Damilola Awofisayo
Emily Wenger
CML
256
0
0
20 May 2025
Has the Creativity of Large-Language Models peaked? An analysis of inter- and intra-LLM variability
Has the Creativity of Large-Language Models peaked? An analysis of inter- and intra-LLM variability
Jennifer Haase
P. Hanel
Sebastian Pokutta
ALMLRM
148
2
0
10 Apr 2025
Autonomous AI imitators increase diversity in homogeneous information ecosystems
Autonomous AI imitators increase diversity in homogeneous information ecosystems
Emil Bakkensen Johansen
Oliver Baumann
SyDa
120
0
0
20 Mar 2025
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