Author

Maria Chistyakova

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Jul 2026

REGARD: Regional Affective Differences in Large Language Models

Large language models trained and aligned within different linguistic and regional ecosystems may frame the same political, cultural, and geopolitical entities in different ways. Such differences are often evaluated through sentiment, favorability, or stance, reducing model attitudes to a single positive-negative axis....

A. Chetvergov, Alexander Evseev, Mikhail Solovev et al. · arXiv.org · 0 citations

Jul 2026

Which Values Do LLMs Confuse? A Schwartz-Based Recognition Study

This work evaluates 21 instruction-tuned LLM runs under a fixed ranked-response protocol, showing that models often locate the correct motivational region while ranking close alternatives unstably, and motivates value-recognition evaluation that combines exact accuracy, ranked recovery, and directed error analysis.

A. Chetvergov, S. Ukolov, Timofei Sivoraksha et al. · arXiv.org · 0 citations