We introduce SciGen, a new challenge dataset consisting of tables from scientific articles
and their corresponding descriptions, for the task of reasoning-aware data-to-text …

We find that the performance of state-of-the-art models on Natural Language Inference (NLI)
and Reading Comprehension (RC) analysis/stress sets can be highly unstable. This raises …

In this paper, we introduce SciGen, a new challenge dataset for the task of reasoning-aware
data-to-text generation consisting of tables from scientific articles and their corresponding …

Existing NLP datasets contain various biases, and models tend to quickly learn those
biases, which in turn limits their robustness. Existing approaches to improve robustness …

Recent advances in neural network architectures and large-scale language model
pretraining have enabled Natural Language Understanding (NLU) systems to surpass …

The amount of information published on the Internet is growing steadily. Accessing the vast
knowledge in them more effectively is a fundamental goal of many tasks in natural language …

The de facto paradigm of developing NLP models requires collecting a dataset, training the
model on the training set assuming all the examples are iid (independent and identically …