With the success of neural language models (LMs), their language acquisi...
Prediction head is a crucial component of Transformer language models.
D...
Neural reasoning accuracy improves when generating intermediate reasonin...
Compositionality is a pivotal property of symbolic reasoning. However, h...
Neural language models (LMs) are arguably less data-efficient than human...
Understanding the inner workings of neural network models is a crucial s...
Do modern natural language processing (NLP) models exhibit human-like
la...
Interpretable rationales for model predictions are crucial in practical
...
Transformer architecture has become ubiquitous in the natural language
p...
In computational psycholinguistics, various language models have been
ev...
Events in a narrative differ in salience: some are more important to the...
Despite the current diversity and inclusion initiatives in the academic
...
We examine a methodology using neural language models (LMs) for analyzin...
Interpretable rationales for model predictions play a critical role in
p...
Because attention modules are core components of Transformer-based model...
The writing process consists of several stages such as drafting, revisin...
Language technologies play a key role in assisting people with their wri...