activity
20242026
most citedGeopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models

2 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2025

HAMSA: Hijacking Aligned Compact Models via Stealthy Automation

Alexey Krylov, Iskander Vagizov, Dmitrii Korzh +6

Large Language Models (LLMs), especially their compact efficiency-oriented variants, remain susceptible to jailbreak attacks that can elicit harmful outputs despite extensive align…

cs.CL2025★ 2 cited

Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models

Mikhail Salnikov, Dmitrii Korzh, Ivan Lazichny +7

This paper evaluates geopolitical biases in LLMs with respect to various countries though an analysis of their interpretation of historical events with conflicting national perspec…