51 citations · 129 across the 23 of their papers we have counts for
53 papers
Lite Unified Modeling for Discriminative Reading Comprehension
Yilin Zhao, Hai Zhao, Libin Shen +1
As a broad and major category in machine reading comprehension (MRC), the generalized goal of discriminative MRC is answer prediction from the given materials. However, the focuses…
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model
Jiayi Wang, Rongzhou Bao, Zhuosheng Zhang +1
Recently, the problem of robustness of pre-trained language models (PrLMs) has received increasing research interest. Latest studies on adversarial attacks achieve high attack succ…
Advances in Multi-turn Dialogue Comprehension: A Survey
Zhuosheng Zhang, Hai Zhao
Training machines to understand natural language and interact with humans is an elusive and essential task of artificial intelligence. A diversity of dialogue systems has been desi…
Advances in Multi-turn Dialogue Comprehension: A Survey
Zhuosheng Zhang, Hai Zhao
Training machines to understand natural language and interact with humans is an elusive and essential task of artificial intelligence. A diversity of dialogue systems has been desi…
Text Compression-aided Transformer Encoding
Zuchao Li, Zhuosheng Zhang, Hai Zhao +4
Text encoding is one of the most important steps in Natural Language Processing (NLP). It has been done well by the self-attention mechanism in the current state-of-the-art Transfo…
Multi-turn Dialogue Reading Comprehension with Pivot Turns and Knowledge
Zhuosheng Zhang, Junlong Li, Hai Zhao
Multi-turn dialogue reading comprehension aims to teach machines to read dialogue contexts and solve tasks such as response selection and answering questions. The major challenges…