Foundation models could eventually introduce several pathways for underm...
We identify the task of measuring data to quantitatively characterize th...
Recent work on explainable NLP has shown that few-shot prompting can ena...
Pre-trained language models (PLMs) have been shown effective for zero-sh...
With the advent of Transformers, large language models (LLMs) have satur...
Deep learning models for natural language processing (NLP) are increasin...
Error analysis in NLP models is essential to successful model developmen...
Recent work (e.g. LAMA (Petroni et al., 2019)) has found that the qualit...
The majority of available text summarization datasets include short-form...
Graph-to-text generation has benefited from pre-trained language models
...
Despite impressive performance on standard benchmarks, deep neural netwo...
Current summarization systems yield generic summaries that are disconnec...
With thousands of academic articles shared on a daily basis, it has beco...
Dialogue state trackers have made significant progress on benchmark data...
Byte-pair encoding (BPE) is a ubiquitous algorithm in the subword
tokeni...