7 citations · 22 across the 7 of their papers we have counts for
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stat.ME2023★ 4 cited
A novel CFA+EFA model to detect aberrant respondents
Niccolò Cao, Livio Finos, Luigi Lombardi +1
Aberrant respondents are common but yet extremely detrimental to the quality of social surveys or questionnaires. Recently, factor mixture models have been employed to identify ind…
cs.CY2023
Cognitive network science reveals bias in GPT-3, ChatGPT, and GPT-4 mirroring math anxiety in high-school students
Katherine Abramski, Salvatore Citraro, Luigi Lombardi +2
Large language models are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating h…