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20182021
most citedFew-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data

2 citations · 2 across the 5 of their papers we have counts for

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cs.CL2020

Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA

Nina Poerner, Ulli Waltinger, Hinrich Schütze

Domain adaptation of Pretrained Language Models (PTLMs) is typically achieved by unsupervised pretraining on target-domain text. While successful, this approach is expensive in ter…

cs.AI2020

AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings

Florian Buettner, John Piorkowski, Ian McCulloh +1

To facilitate the widespread acceptance of AI systems guiding decision-making in real-world applications, it is key that solutions comprise trustworthy, integrated human-AI systems…