Author

Michal Štefánik

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#artificial intelligence Preprint Sep 2026

Edustories: A Collection of Real-world Case Studies from Classroom Practices

Despite the widely recognized potential of AI in education, most prior work has focused on individualized student assistance. In contrast, the majority of educational practice worldwide still takes place in collective classroom settings. To enable researchers to study AI assistance in collective teaching, we introduce...

Michal Štefánik, J. Nehyba, Jirina Karasova et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Prompt-Robust Language Models: Which Training Strategies Work?

The current robustness fine-tuning methods improve over standard fine-tuning and in-context learning, but the best-to-worst prompt gap remains as high as 40-57% of performance, and recent robustness-enhancing methods often fail to outperform the simplest data construction strategy: training on one template per batch.

Frederic Sadrieh, Michal Štefánik · 0 citations