Author

Nils Feldhus

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#artificial intelligence Preprint Sep 2026

From Concept Alignment to Causal Grounding: An Intervention Test of Chain-of-Thought Faithfulness

Chain-of-thought (CoT) can sound plausible yet be unfaithful to the model's underlying reasoning. Most prior work probes CoT faithfulness through input--output behavior or input attributions, leaving internal computation largely underexplored. We instead cast faithfulness as internal concept grounding: Does a large lan...

Qianli Wang, Yilong Wang, Dennis Wei et al. · 0 citations

#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