Papers by Amélie Reymond
Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning (2026.findings-acl)
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| Challenge: | Prior studies have reported that large language models (LLMs) are also susceptible to human-like cognitive biases, but the extent to which LLMs selectively reason toward identity-congruent conclusions remains unexplored. |
| Approach: | They investigate whether assigning 8 personas across 4 political and socio-demographic attributes induces motivated reasoning in LLMs. |
| Outcome: | The proposed model is assigned 8 personas across 4 political and socio-demographic attributes and shows that they have 9% reduced veracity discernment compared to models without persona. |