Author

C. Greisinger

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Preprint Aug 2026

How Do VLMs Behave When Blind or Misled? Behavioral Evaluation of VLMs on Scientific Figures

SciFigBench is introduced, a diagnostic VLM benchmark for scientific figure understanding that jointly evaluates perception, reasoning, and behavioral reliability under uncertainty and proposes the Admittance-Resistance-Inductance (A-R-I) framework to evaluate whether models acknowledge insufficient evidence, resist mi...

Paul Osemudiame Oamen, Owusu-Banahene Osei, Ananya Mukherjee et al. · 0 citations

#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

#artificial intelligence Preprint Sep 2026

EdiTikZ: Scientific Figure Editing from Revision Trajectories

DaEdiTikZ is introduced, the first large-scale dataset of revision-derived scientific figure edits, constructed by mining 391K plausible TikZ edit pairs from arXiv, GitHub, and TeX SE and inferring 781K directed edit instructions with a VLM conditioned on rendered figures and TikZ code.

C. Greisinger, Zhixue Zhao, Steffen Eger · 0 citations