10 papers · 1 filter
The Two-Process Theory of Machine Self-Report
Hubert Plisiecki, Filip Chmielewski, Kacper Dudzic +3
Language models are increasingly asked to self-report, informing safety evaluations, public understanding, and model-welfare debates. Yet their reports are elicited with human ques…
Supervised Semantic Differential for Cross-Cultural Concept Analysis: A Case Study of Human Affect
Jan Sikora, PaweÅ Lenartowicz, Hubert Plisiecki
Cross-cultural comparison of psychological meaning requires methods that go beyond word-level translation and examine how semantic dimensions are organized across languages. We int…
Semantic Gradients Interactions in SSD: A Case Study in Racial Identity and Hate Speech
Felix Ostrowicki, Hubert Plisiecki
We introduce interaction SSD, an extension of Supervised Semantic Differential that models how semantic meaning varies across moderators such as groups, traits, or conditions makin…
Psychological Constructs in Shared Semantic Space
Hubert Plisiecki
Psychological constructs are often measured in separate instruments, datasets, and research traditions, which makes direct comparison difficult. This paper proposes a framework for…
The Pinocchio Dimension: Phenomenality of Experience as the Primary Axis of LLM Psychometric Differences
Hubert Plisiecki, Sabina Siudaj, Kacper Dudzic +4
We administer 45 validated psychometric questionnaires to 50 large language models (LLMs) to identify the dimensions along which LLMs differ psychometrically. Using Supervised Sema…
Interpretable Semantic Gradients in SSD: A PCA Sweep Approach and a Case Study on AI Discourse
Hubert Plisiecki, Maria Leniarska, Jan Piotrowski +1
Supervised Semantic Differential (SSD) is a mixed quantitative-interpretive method that models how text meaning varies with continuous individual-difference variables by estimating…