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cs.LG2026
No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification models
Magali Legast, Toon Calders, François Fouss
Bias can be introduced in diverse ways in machine learning datasets, for example via selection or label bias. Although these bias types in themselves have an influence on important…
cs.AI2026
Would a Large Language Model Pay Extra for a View? Inferring Willingness to Pay from Subjective Choices
Manon Reusens, Sofie Goethals, Toon Calders +1
As Large Language Models (LLMs) are increasingly deployed in applications such as travel assistance and purchasing support, they are often required to make subjective choices on be…