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Found 3 papers, 1 papers with code
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
Vision Transformers (ViTs), with their ability to model long-range dependencies through self-attention mechanisms, have become a standard architecture in computer vision.
EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System
This new model, that we call EfficientQA, takes advantage from the pair of sequences kind of input of BERT-based models to build meaningful dense representations of candidate answers.
Ranked #124 on
Question Answering
on SQuAD1.1
Extractive Question-Answering
Natural Language Understanding
+1
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering
In this paper, we introduce MIX : a multi-task deep learning approach to solve Open-Domain Question Answering.
