8 papers
Language Models Reproduce Human Reductionist Bias and Decision Inconsistency in Neurodevelopmental Disorders Assessment
Maciej Wodziński, Joanna Wodzińska, Kacper Dudzic +1
Large language models (LLMs) are increasingly supporting complex mental-health decisions, which depend not only on factual evidence but also value-laden interpretations. We introdu…
Lost in Historical Time? A Polish History Matura Benchmark for Large Language Models
Adrian Trzoss, Kacper Dudzic, Wiktor Werner +1
Language models are widely used by students as knowledge sources, yet benchmarks rarely assess their interpretative historical reasoning. We evaluate eight leading LLMs on the Poli…
How LLMs Respond to Escalating Delusions: Four Longitudinal Trajectories of Model Behavior
Anna Sterna, Kacper Dudzic, Karolina Drożdż +3
The widespread use of LLMs among psychiatric populations has raised concerns regarding their safety and potential iatrogenic impact in the context of AI psychosis. While growing li…
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…
The Shared Latent Structure of LLM Psychometric Responses
Hubert Plisiecki, Sabina Siudaj, Kacper Dudzic +4
Human psychometric questionnaires are increasingly used to characterize large language models (LLMs), but it remains unclear what exactly their responses reflect. To answer this qu…
Computational Phenomenology of Temporal Experience in Autism: Quantifying the Emotional and Narrative Characteristics of Lived Unpredictability
Kacper Dudzic, Karolina Drożdż, Maciej Wodziński +2
Disturbances in temporality, such as desynchronization with the social environment and its unpredictability, are considered core features of autism with a deep impact on relationsh…
Patterns vs. Patients: Evaluating LLMs against Mental Health Professionals on Personality Disorder Diagnosis through First-Person Narratives
Karolina Drożdż, Kacper Dudzic, Anna Sterna +1
Growing reliance on LLMs for psychiatric self-assessment raises questions about their ability to interpret qualitative patient narratives. This depth over breadth case study direct…
Computational Phenomenology of Borderline Personality Disorder: A Comparative Evaluation of LLM-Simulated Expert Personas and Human Clinical Experts
Marcin Moskalewicz, Anna Sterna, Karolina Drożdż +3
Building on a human-led thematic analysis of clinical life-story interviews (> 150,000 words) with inpatients with Borderline Personality Disorder, this study examines the capacity…