Curriculum learning (CL) posits that machine learning models – similar t...
We study feature interactions in the context of feature attribution meth...
Detecting and mitigating harmful biases in modern language models are wi...
We investigate the extent to which modern, neural language models are
su...
We investigate the semantic knowledge of language models (LMs), focusing...
The field of explainable AI has recently seen an explosion in the number...
In this paper, we propose to study language modelling as a multi-task
pr...
In this paper we introduce diagNNose, an open source library for analysi...
Extensive research has recently shown that recurrent neural language mod...
In this paper, we attempt to link the inner workings of a neural languag...