Ivan P. Yamshchikov

The Human Oversight Fallacy–and What We Can Do About It

We're Cooked! - Probing LLM Political Alignment Via Conflict-Framed Recipe Translation

Large language models (LLMs) are increasingly deployed for translation tasks, yet their implicit political positioning in such contexts remains understudied. We ask whether a single politically charged framing term, such as aggressor, enemy, neighbour, or coloniser is sufficient to trigger implicit political alignment...

LeakageBench: Document-Level Leakage Risk for Redacting Personally Identifiable Information in Document Images

LeakageBench provides a diagnostic benchmark for high-recall, spatially grounded PII redaction in document images and shows that stronger detection and tool assistance improve localization without making most pages safe for release.

The Company You Keep: How LLMs Respond to Dark Triad Traits

This work examines how LLMs respond to user prompts expressing varying degrees of Dark Triad traits (Machiavellianism, Narcissism, and Psychopathy) using a curated dataset, revealing systematic differences across models.