Author

Jana Diesner

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#natural language process... Jun 2026

Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs

A controlled protocol for evaluating answer stability is introduced: after a model answers a multiple-choice question correctly, it is challenged with a coherent argument for an incorrect option and measured whether the model flips, finding that self-attribution consistently increases flip rates and pooling wrong-answer arguments across models yields stronger adversarial challenges.

Nafiseh Nikeghbal, Amir Hossein Kargaran, Shaghayegh Kolli et al. · arXiv.org · 0 citations

#computer vision Preprint Aug 2026

ContextBias: Controlled Evaluation of Bias Persistence Under Context Shift in Text-to-Image Models

Evaluating four state-of-the-art models finds that placing a role in a semantically unrelated context does not suppress role-linked attributes; instead, cross-role attribute concentration increases (pooled BI $+0.047$).

Shaghayegh Kolli, S. Emami, Moreno D'Incà et al. · 0 citations

#natural language process... Preprint Aug 2026

PrivBench: A Holistic and Modular Benchmarking Platform for Evaluating Text-to-Text Privatization

Seeking to unify the evaluation of text-to-text privatization, PrivBench is introduced, a holistic and modular benchmarking platform for researchers and practitioners working on text privatization that evaluates privatization on a series of defined desiderata, which are structured into modules.

Stephen Meisenbacher, Andreea-Elena Bodea, A. Akın et al. · 0 citations