1 citations · 1 across the 3 of their papers we have counts for
4 papers
A word association network methodology for evaluating implicit biases in LLMs compared to humans
Katherine Abramski, Giulio Rossetti, Massimo Stella
As Large language models (LLMs) become increasingly integrated into our lives, their inherent social biases remain a pressing concern. Detecting and evaluating these biases can be…
The "LLM World of Words" English free association norms generated by large language models
Katherine Abramski, Riccardo Improta, Giulio Rossetti +1
Free associations have been extensively used in cognitive psychology and linguistics for studying how conceptual knowledge is organized. Recently, the potential of applying a simil…
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated raters
Edith Haim, Natalie Fischer, Salvatore Citraro +2
Creativity is a fundamental skill of human cognition. We use textual forma mentis networks (TFMN) to extract network (semantic/syntactic associations) and emotional features from a…
PhDGPT: Introducing a psychometric and linguistic dataset about how large language models perceive graduate students and professors in psychology
Edoardo Sebastiano De Duro, Enrique Taietta, Riccardo Improta +1
Machine psychology aims to reconstruct the mindset of Large Language Models (LLMs), i.e. how these artificial intelligences perceive and associate ideas. This work introduces PhDGP…