12 citations · 12 across the 1 of their papers we have counts for
6 papers
SeDR: Segment Representation Learning for Long Documents Dense Retrieval
Junying Chen, Qingcai Chen, Dongfang Li +1
Recently, Dense Retrieval (DR) has become a promising solution to document retrieval, where document representations are used to perform effective and efficient semantic search. Ho…
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
Dongfang Li, Baotian Hu, Qingcai Chen
Calibration strengthens the trustworthiness of black-box models by producing better accurate confidence estimates on given examples. However, little is known about if model explana…
Prompt-based Text Entailment for Low-Resource Named Entity Recognition
Dongfang Li, Baotian Hu, Qingcai Chen
Pre-trained Language Models (PLMs) have been applied in NLP tasks and achieve promising results. Nevertheless, the fine-tuning procedure needs labeled data of the target domain, ma…
You Can Do Better! If You Elaborate the Reason When Making Prediction
Dongfang Li, Jingcong Tao, Qingcai Chen +1
Neural predictive models have achieved remarkable performance improvements in various natural language processing tasks. However, most neural predictive models suffer from the lack…
Semi-supervised Visual Feature Integration for Pre-trained Language Models
Lisai Zhang, Qingcai Chen, Dongfang Li +1
Integrating visual features has been proved useful for natural language understanding tasks. Nevertheless, in most existing multimodal language models, the alignment of visual and…
BERTSel: Answer Selection with Pre-trained Models
Dongfang Li, Yifei Yu, Qingcai Chen +1
Recently, pre-trained models have been the dominant paradigm in natural language processing. They achieved remarkable state-of-the-art performance across a wide range of related ta…