Author

Philippe Muller

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#artificial intelligence Preprint Sep 2026

Memory vs. Context? Influential Factors of Factual Recall in Language Models

We reproduce and stress-test the work of Yu et al. (2023), who characterize how language models (LMs) arbitrate between memorized knowledge and contradictory in-context statements. We replicate their world-capitals experiments on 31 models spanning Pythia, GPT-2, Qwen3, and Ministral families, including base and post-t...

Guilhem Fouilhé, Nicholas Asher, Philippe Muller · 0 citations

#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