24 citations · 32 across the 14 of their papers we have counts for
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cs.CL2021★ 2 cited
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning
Benjamin Minixhofer, Milan Gritta, Ignacio Iacobacci
Transfer learning has become the dominant paradigm for many natural language processing tasks. In addition to models being pretrained on large datasets, they can be further trained…
cs.CL2021
XeroAlign: Zero-Shot Cross-lingual Transformer Alignment
Milan Gritta, Ignacio Iacobacci
The introduction of pretrained cross-lingual language models brought decisive improvements to multilingual NLP tasks. However, the lack of labelled task data necessitates a variety…