Author

Vera Schmitt

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#machine learning Preprint May 2026

Judge Circuits Explain Format-Induced Inconsistency in LLM-as-a-Judge

By structurally decoupling abstract judging from output formatting, this work provides a mechanistic account of format-induced inconsistency on the open-weight models the authors study and implies that benchmark comparisons of judge reliability across formats partly measure the fragile formatting stage, and can underst...

Nils Feldhus, Tanja Baeumel, Elena Golimblevskaia et al. · 1 citation

#machine learning Preprint Sep 2026

Limitations of Automated Simulatability: LLM Simulators Can Bypass Explanations

This work qualitatively replicate and extend ConSim's ranking of explanation methods across the tested datasets, explanation families, and simulator LLMs, and identifies two limitations: when class names are meaningful, simulators can obtain high simulatability by solving the classification task directly, without relyi...

Antonin Poché, Fanny Jourdan, Nils Feldhus et al. · 0 citations