Decompilation is a well-studied area with numerous high-quality tools
av...
Dedicated tensor accelerators demonstrate the importance of linear algeb...
In the recent years, transformer-based models have lead to significant
a...
In this work, we introduce sequence-to-sequence language resources for
C...
In this work, we present the Large Labelled Logo Dataset (L3D), a
multip...
We introduce a new language representation model in finance called Finan...
There are many Language Models for the English language according to its...
We introduce CoWeSe (the Corpus Web Salud Español), the largest Spanish
...
This work presents biomedical and clinical language models for Spanish b...
Generative Pre-trained Transformers (GPTs) have recently been scaled to
...
Deep learning has had a significant impact on many fields. Recently,
cod...
Multilingual language models have been a crucial breakthrough as they
co...
This paper presents the Spanish RoBERTa-base and RoBERTa-large models, a...
The training of neural networks is usually monitored with a validation
(...
We computed both Word and Sub-word Embeddings using FastText. For Sub-wo...
Artificial Neural Networks (ANNs) are widely used for approximating comp...
Researchers that work for the same institution use their email as the ma...
Introducing factors, that is to say, word features such as linguistic
in...