The explosive growth of language models and their applications have led ...
This paper presents an efficient Multi-scale Transformer-based approach ...
Facial Action Units detection (FAUs) represents a fine-grained classific...
We study the design decisions of publicly available instruction tuning
m...
This paper presents ViDeBERTa, a new pre-trained monolingual language mo...
Evaluation metrics that are not robust to dialect variation make it
impo...
In this paper, we explore the challenging problem of performing a genera...
Manually annotating datasets requires domain experts to read through man...
As pre-trained language models have gotten larger, there has been growin...
Despite their recent successes in tackling many NLP tasks, large-scale
p...
Recent advances in NLP demonstrate the effectiveness of training large-s...
While paragraph embedding models are remarkably effective for downstream...
Supervised distributional methods are applied successfully in lexical
en...
Sentence simplification aims to simplify the content and structure of co...