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#artificial intelligence Preprint Oct 2026

LLM Persuasion Is in the Eye of the Evaluation

Large language models (LLMs) have already been shown to match or exceed human experts in persuasion. While their persuasive capabilities hold promise for beneficial uses such as education and health communication, they can also be used to manipulate and misinform, making their evaluation a growing priority for develope...

Kamile Dementaviciute, Julija Vaitonyte, T. De Bie · 0 citations

Untangling Input Language from Reasoning Language: A Diagnostic Framework for Cross-Lingual Moral Alignment in LLMs

When LLMs judge moral dilemmas, do they reach different conclusions in different languages, and if so, why? Two factors could drive such differences: the language of the dilemma itself, or the language in which the model reasons. Standard evaluation conflates these by testing only matched conditions (e.g., English dile...

Nan Li, Bo Kang, T. De Bie · 1 citation

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