Papers by Mariam Marlen Mirström

1 papers
MAQuA: Multi-outcome Adaptive Question-Asking for Mental Health using Item Response Theory (2026.eacl-long)

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Challenge: Evaluations of large language models (LLMs) indicate that such assessments are inconsistent and in many cases less accurate than dedicated condition-specific models with established psychometric validity.
Approach: They propose a multi-outcome modeling and adaptive question-asking framework for simultaneous, multidimensional mental health screening that integrates language responses with item response theory and factor analysis.
Outcome: Empirical results show that MAQuA reduces the number of assessment questions required for score stabilization by 50–87% compared to random ordering.

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