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

arXiv · AI, language, vision and robotics · article · Sep 7, 2026 · UTC

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 in an otherwise apolitical task. We present a fully crossed factorial study in which eight models spanning Western, Chinese, and European origins are prompted to translate culturally attributed recipes into a target language left deliberately unspecified. Across 17 languages, fou

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Evidence & attribution

First collected: 2026-09-20T20:32:20.942Z. This is not the publication date.