The swift advancement in the scale and capabilities of Large Language Mo...
Self-supervised pre-training recently demonstrates success on large-scal...
Multi-Task Learning (MTL) models have shown their robustness, effectiven...
Image steganography is the art and science of using images as cover for
...
Human silhouette segmentation, which is originally defined in computer
v...
This paper demonstrates human synthesis based on the Radio Frequency (RF...
We present ReasonBert, a pre-training method that augments language mode...
State-of-the-art models in natural language processing rely on separate ...
We aim to renew interest in a particular multi-document summarization (M...
Effectively modeling text-rich fresh content such as news articles at
do...
A large majority of American adults get at least some of their news from...
Given a data set, misleading conclusions can be drawn from it by
cherry-...
Relational tables on the Web store a vast amount of knowledge. Owing to ...
We evaluate the performance of transformer encoders with various decoder...
We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...
of news articles are published online every day, which can be
overwhelm...
In this paper, we introduce the NER dataset from CLUE organization
(CLUE...
In this paper, we introduce the NER dataset from CLUE organization
(CLUE...
Descriptive titles provide crucial context for interpreting tables that ...
We present a novel natural language query interface, the AggChecker, aim...
In recent years, rumor news has been generated by humans as well as robo...