One of the ultimate quests of question answering (QA) is to deploy a sys...
For many real-world applications, the user-generated inputs usually cont...
Large language models (LLMs) show impressive abilities via few-shot
prom...
Model calibration aims to adjust (calibrate) models' confidence so that ...
What are the units of text that we want to model? From bytes to multi-wo...
A flaw in QA evaluation is that annotations often only provide one gold
...
Adversarial training (AT) as a regularization method has proved its
effe...
Conventional tokenization methods for Chinese pretrained language models...
Most pre-trained language models (PLMs) construct word representations a...
Machine Reading Comprehension (MRC) is an important testbed for evaluati...
Multiple-Choice Reading Comprehension (MCRC) requires the model to read ...