The integration of synthetically generated data in the second and third steps enhances the models' capabilities in interpreting and processing legal texts, effectively reaching state-of-the-art performance and outperforming

The lack of interpretability in the field of medical image analysis has significant ethical and legal implications.

Moreover, our framework is designed to accommodate future advancements in each branch.

These processes find wide application in the natural sciences and machine learning, but their inference is known to be far from trivial.

Unlike the classic utility maximizers who maximize their quasi-linear utility given by the difference between value and payment, value maximizers maximize the total value subject to a return-on-spend (RoS) constraint [Balseiro et al., 2021b].