Probing contextualized representations typically involves comparing task-specific model
predictions against ground truth linguistic labels. Although this methodology shows what …

This dissertation studies the use of geometric properties to justify the impressive
performance of contextualized representations on various natural language processing …

Abstract Pareto Front Learning (PFL) has been one of the effective means to resolve multi-
objective optimization problems through exploring all optimal solutions to learn the entire …