Papers by Mariam Marlen Mirström
MAQuA: Multi-outcome Adaptive Question-Asking for Mental Health using Item Response Theory (2026.eacl-long)
Copied to clipboard
Vasudha Varadarajan, Hui Xu, Rebecca Astrid Böhme, Mariam Marlen Mirström, Sverker Sikström, H. Andrew Schwartz
| 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. |