Author

M. Aßenmacher

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#machine learning Preprint Aug 2026

Fairness Beyond Anonymization? Demographic Leakage in German LLM-Generated Resumes

A two-stage audit of demographic leakage in German-language LLM-generated resumes demonstrates that apparently neutral resume generation can still preserve highly predictive demographic signals, raising concerns about anonymization-based fairness interventions in multilingual AI hiring pipelines.

Charlotte Leininger, Helena Veit, M. Aßenmacher et al. · 0 citations

#natural language process... Preprint Sep 2026

MUCnoHARM@GermEval Shared Task 2026: Retrieval-based In-Context Learning for Defamatory Offences, and Where It Falls Short

This work studies a variety of retrieval-based in-context learning (RetICL) strategies for detecting defamatory offences under {\S}{\S} 185-187 StGB (the subject of GermEval 2026 Subtask 4).

Kristin Gnadt, Maximilian Meidinger, M. Aßenmacher · 0 citations