Recent research has shown that multi-task pre-training greatly improves ...
Recently, speech-text pre-training methods have shown remarkable success...
State-of-health (SOH) estimation is a key step in ensuring the safe and
...
When solving compressible multi-material flow problems, an unresolved
ch...
Multilingual pre-trained models have achieved remarkable transfer perfor...
Most pre-trained language models (PLMs) construct word representations a...
Machine Reading Comprehension (MRC) is an important testbed for evaluati...
Human conversations contain many types of information, e.g., knowledge,
...
Owing to the continuous contributions by the Chinese NLP community, more...
We present a Chinese judicial reading comprehension (CJRC) dataset which...
We consider the importance of different utterances in the context for
se...
Machine Reading Comprehension (MRC) with multiple-choice questions requi...
Machine Reading Comprehension (MRC) has become enormously popular recent...
This paper describes the system which got the state-of-the-art results a...
This paper proposed a bias-compensated normalized maximum correntropy
cr...
Machine Reading Comprehension (MRC) has become enormously popular recent...
Robust diffusion adaptive estimation algorithms based on the maximum
cor...