Large language models show impressive results on few-shot NLP tasks. How...
Work on scaling laws has found that large language models (LMs) show
pre...
Accurate syntactic representations are essential for robust generalizati...
We present the call for papers for the BabyLM Challenge: Sample-efficien...
Targeted syntactic evaluations of language models ask whether models sho...
Structural probing work has found evidence for latent syntactic informat...
We present the results of the NLP Community Metasurvey. Run from May to ...
In text classification tasks, useful information is encoded in the label...
Relations between words are governed by hierarchical structure rather th...
Targeted syntactic evaluations have demonstrated the ability of language...
Neural topic models can augment or replace bag-of-words inputs with the
...
Narrative generation is an open-ended NLP task in which a model generate...
The #MeToo movement on Twitter has drawn attention to the pervasive natu...
A range of studies have concluded that neural word prediction models can...
There is an extensive history of scholarship into what constitutes a "ba...
Recurrent neural networks can learn to predict upcoming words remarkably...