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cs.CV2022
One does not fit all! On the Complementarity of Vision Encoders for Vision and Language Tasks
Gregor Geigle, Chen Cecilia Liu, Jonas Pfeiffer +1
Current multimodal models, aimed at solving Vision and Language (V+L) tasks, predominantly repurpose Vision Encoders (VE) as feature extractors. While many VEs -- of different arch…
cs.CL2022
UKP-SQUARE: An Online Platform for Question Answering Research
Tim Baumgärtner, Kexin Wang, Rachneet Sachdeva +10
Recent advances in NLP and information retrieval have given rise to a diverse set of question answering tasks that are of different formats (e.g., extractive, abstractive), require…