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Matteo Gabburo

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedEfficient pre-training objectives for Transformers

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2021★ 4 cited

Efficient pre-training objectives for Transformers

Luca Di Liello, Matteo Gabburo, Alessandro Moschitti

The Transformer architecture deeply changed the natural language processing, outperforming all previous state-of-the-art models. However, well-known Transformer models like BERT, R…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.