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R. Debelak

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2 papers indexed here

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Open access Oct 2026

Model fit and parameter uncertainty in amortized variational inference based item response theory.

Amortized variational inference (AVI) has become a popular, computationally efficient alternative to marginal maximum likelihood estimation (MML) for estimating high-dimensional item response theory models on large datasets. However, currently the AVI framework lacks methods to assess model fit and determine parameter...

K. Veldkamp, R. Grasman, R. Debelak et al. · 0 citations
#artificial intelligence Preprint Oct 2026

What Makes Something Hard(er)? Explaining Question Difficulty in Natural Language

Difficulty is one of the most fundamental properties of a question: it determines whether the question can meaningfully discriminate between models of differing ability. Although a variety of methods can now estimate or predict difficulty automatically, they yield only a single descriptive number, with no account of th...

Peng Cui, Qiao-Yuan Zheng, R. Debelak et al. · 0 citations

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