Stef de Wildt

Exposure-based fairness metrics reveal hidden biases that demographic parity overlooks, challenging conventional fairness assessments in link prediction.

Fixing the residual mixing matrix to identity during finetuning can lead to unexpected performance improvements in Transformer models.