Author

Lotta Kiefer

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#artificial intelligence Jun 2026

Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025

The results show that annotation reporting in NLP has improved over time but remains uneven, and they establish a scalable framework and bare-minimum reporting recommendations for making human annotation more reliable, reproducible, and interpretable.

M. Kunilovskaya, Gagan Bhatia, Lisa Sophie Albertelli et al. · arXiv.org · 0 citations

Preprint Aug 2026

When Writing Style Drifts: Benchmarking Authorship Verification under Distribution Shifts in Genre, Time and the AI-Era

AVShift is introduced, the first German benchmark for systematically evaluating AV under multiple distribution shifts, and feature analysis reveals stylistic features that remain stable across genres, while their relative importance varies depending on the specific genre transition.

Lotta Kiefer, Brisca Balthes, Christoph Leiter et al. · 0 citations