Author

Gagan Bhatia

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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

ChronoLens: Measuring Language Change Across Time, Languages, and Linguistic Levels

ChronoLens is introduced, a framework that combines frozen multilingual language models, feature-aligned crosscoders, and post-hoc linguistic interventions, and applies it to 44.98 million documents and approximately 17.2 billion tokens from five parliamentary traditions spanning 1803--2026, showing that historical lan...

Gagan Bhatia, Julian Schlenker, S. Ponzetto et al. · 0 citations