3 papers
cs.CL2026
VIBE: A VAD-Informed Benchmark for Entity-Centered Affective Profiling of Large Language Model Outputs
Andrei Chetvergov, Alexander Evseev, Timofei Sivoraksha +4
Large language models routinely describe socially salient targets, including political figures, countries, religions, organizations, historical events, and social groups, encoding…
cs.CL2026
REGARD: Regional Affective Differences in Large Language Models
Andrei Chetvergov, Alexander Evseev, Mikhail Solovev +5
Large language models trained and aligned within different linguistic and regional ecosystems may frame the same political, cultural, and geopolitical entities in different ways. S…
cs.CL2026
Which Values Do LLMs Confuse? A Schwartz-Based Recognition Study
Andrei Chetvergov, Stepan Ukolov, Timofei Sivoraksha +5
Large language models are increasingly evaluated through the values they endorse, but such evaluations presuppose that models can identify the value expressed in a concrete situati…