34 citations · 111 across the 25 of their papers we have counts for
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cs.CL2023
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations
Gregor Geigle, Radu Timofte, Goran Glavaš
Vision-and-language (VL) models with separate encoders for each modality (e.g., CLIP) have become the go-to models for zero-shot image classification and image-text retrieval. They…
cs.CL2023
A General-Purpose Multilingual Document Encoder
Onur Galoğlu, Robert Litschko, Goran Glavaš
Massively multilingual pretrained transformers (MMTs) have tremendously pushed the state of the art on multilingual NLP and cross-lingual transfer of NLP models in particular. Whil…