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cs.CL2026

Entity tracking emerges in sub-billion parameter language models and exceeds human performance in naturalistic narratives

Karolina Drożdż, Micha Heilbron

Understanding language requires tracking entities across discourse - i.e., knowing where things are and how they change, even when not explicitly stated. Whether language models pe…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…