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Martin Lukk

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#artificial intelligence Review Sep 2026

Population Fidelity: Evaluating Population Representativeness in LLMs

This work introduces Population Fidelity, an evaluation framework that distinguishes key conditions required for a set of LLM-generated responses to represent a population and organizes these features and provides reusable code, data, and trained models for evaluating population fidelity across substantive domains and...

Neemias B. da Silva, Martin Lukk, A. Sutani et al. · 0 citations

FairFund-Bench: Evaluating Distributive Bias in LLM Resource Allocation

FairFund-Bench is introduced, a benchmark that systematically varies key features of previous audit designs: the evaluation task (rating, ranking, or allocation), comparison context (single or multi-stimulus), and whether the audit is transparent or disguised, indicating that current LLMs robustly reproduce human deser...

Martin Lukk · 1 citation

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