Recent developments in natural language generation (NLG) using neural
la...
Prior work has explored the writing challenges experienced by people wit...
The task of inserting text into a specified position in a passage, known...
NLP researchers need more, higher-quality text datasets. Human-labeled
d...
In this paper, we leverage large language models (LMs) to perform zero-s...
As neural language models grow in effectiveness, they are increasingly b...
We describe an "interpretability illusion" that arises when analyzing th...
We present the Language Interpretability Tool (LIT), an open-source plat...
Transformer architectures show significant promise for natural language
...