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Narrowing performance gap with cross-encoder using weakly labeled data · Introduction In recent years, the advancement of natural language processing...
Training data-efficient image transforms & distillation through attention · Introduction The goal of this work is not to surpass the current...
The Powerful Fusion of DeBERTa and ELECTRA · Overview DeBERTa-v3 is a Transformer-based model that combines the techniques from DeBERTa v1 and ELECTRA....
Leveraging Positional Information for Improved Language Understanding · Introduction Transformers, which are models based on the attention mechanism, can...
Revolutionizing Audio Processing with Wav2Vec 2.0: A Breakthrough in Self-Supervised Learning for Raw Audio Data · Introduction The development of...
Using a Transformer-based model to get vector representation for a sentence · Problem When it comes to comparing two sentences, the original BERT model...
