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AdapterHub: A Framework for Adapting Transformers
TLDR
AdaptersHub is proposed, a framework that allows dynamic “stiching-in” of pre-trained adapters for different tasks and languages that enables scalable and easy access to sharing of task-specific models, particularly in low-resource scenarios.
What to Pre-Train on? Efficient Intermediate Task Selection
TLDR
This work provides a comprehensive comparison of different methods for efficiently identifying beneficial tasks for intermediate transfer learning, focusing on parameter and computationally efficient adapter settings, highlight different data-availability scenarios, and provide expense estimates for each method.
UKP-SQUARE: An Online Platform for Question Answering Research
TLDR
UKP-SQuARE is an extensible online QA platform for researchers which allows users to query and analyze a large collection of modern Skills via a user-friendly web interface and integrated behavioural tests.