The article introduces DIALIGHT, a toolkit for developing and evaluating multilingual Task-Oriented Dialogue (TOD) systems. The toolkit facilitates systematic evaluations and comparisons between TOD systems that use fine-tuning of Pretrained…
Continue readingThe article presents DIALIGHT, a toolkit for developing and evaluating multilingual Task-Oriented Dialogue (TOD) systems. It’s designed to facilitate systematic evaluations and comparisons between TOD systems using Pretrained Language Models…
Continue readingThe paper presents SUMMaug, a novel approach to data augmentation for document classification. Despite the use of pretrained language models in natural language understanding tasks, comprehending lengthy text remains a…
Continue readingThe paper presents PAC-tuning, a method for fine-tuning pretrained language models (PLMs) to enhance their generalization performance. The method uses PAC-Bayes training to directly minimize the PAC-Bayes generalization bound, resulting…
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