Despite the extensive application of multi-pass SGD in practice, there are only a few theoretical techniques being developed to study the generalization of multi-pass SGD.

Despite the extensive application of multi-pass SGD in practice, there are only a few theoretical techniques being developed to study the generalization of multi-pass SGD.

Consequently, detecting whether a text is generated by LLMs has become increasingly important.

Such slot-based approaches have several conceptual limitations.

This relationship allows us to design a robust training objective without approximating a non-existing smoothed classifier, e.g., via soft smoothing.