Explanations of neural models aim to reveal a model's decision-making pr...
Explaining the decisions of neural models is crucial for ensuring their
...
State-of-the-art neural models can now reach human performance levels ac...
Bias-measuring datasets play a critical role in detecting biased behavio...
Explaining the predictions of AI models is paramount in safety-critical
...
Most deep learning algorithms lack explanations for their predictions, w...
Recently, there has been an increasing interest in models that generate
...
Explainable machine learning models primarily justify predicted labels u...
Recently, an increasing number of works have introduced models capable o...
Explaining the predictions of AI models is paramount in safety-critical
...
Diagnostic datasets that can detect biased models are an important
prere...
Hard cases of pronoun resolution have been used as a long-standing bench...
Deep neural networks are becoming more and more popular due to their
rev...
For neural models to garner widespread public trust and ensure fairness,...
The recently proposed SNLI-VE corpus for recognising visual-textual
enta...
Pronoun resolution is a major area of natural language understanding.
Ho...
The Winograd Schema Challenge (WSC) dataset WSC273 and its inference
cou...
In order for machine learning to garner widespread public adoption, mode...
In order for machine learning to garner widespread public adoption, mode...