Author

Mario Sanz-Guerrero

3 papers indexed here

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#natural language process... Preprint Oct 2026

Investigating the Role of Reasoning-Language Alignment in Monolingual Retrieval-Augmented Generation

Reasoning traces improve large language models (LLMs), but current models are trained to reason mostly in English. It has been shown that forcing a model to reason in another language degrades accuracy, even when the reasoning language matches the language of the prompt -- but only for a setting where the model reasons...

Oliver Hauck, Mario Sanz-Guerrero, Katharina von der Wense · 0 citations

#natural language process... Preprint Sep 2026

Dating the Model: Hidden Dates in System Prompts Affect LLM Evaluation

Reproducibility is essential for scientific research, yet prior work shows that LLM outputs vary with hardware and batching. We identify an overlooked factor: the hidden injection of the current date into system prompts, which users cannot control and which changes every day. Across 9 recent LLMs and 6 datasets spannin...

Mario Sanz-Guerrero, M. Bui, Manuel Mager et al. · 1 citation

#natural language process... Review Sep 2026

Perspectives on Cross-Lingual Consistency in LLMs for Medical Questions

It is concluded that neither consistency nor adaptation can currently be considered clearly preferable, highlighting the need for empirical evidence on which approach better serves users across cultural contexts.

M. Bui, Mario Sanz-Guerrero, Abteen Ebrahimi et al. · 0 citations