On the definition and detection of cherry-picking in counterfactual explanations
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arXiv- () p.
Would a large language model pay extra for a view? Inferring willingness to pay from subjective choices
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ArXiv- () p. 1-37
Fairness principles across contexts : evaluating gender disparities of facts and opinions in large language models
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AI and ethics - ISSN 2730-5961-6 (2025) p. 1-19
What if the prompt were different? Counterfactual explanations for the characteristics of generative outputs
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Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, June 16-19, 2025, New York City, USA- () p. 237-242
One world, one opinion? The superstar effect in LLM responses
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Proceedings of the 3rd Workshop on Cross-Cultural Considerations in NLP (C3NLP 2025), 4 May, 2025, Albuquerque, New Mexico, USA- () p. 89-107