13 citations · 13 across the 2 of their papers we have counts for
3 papers
cs.CL2022
Using calibrator to improve robustness in Machine Reading Comprehension
Jing Jin, Houfeng Wang
Machine Reading Comprehension(MRC) has achieved a remarkable result since some powerful models, such as BERT, are proposed. However, these models are not robust enough and vulnerab…
cs.CL2021★ 13 cited
KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size Quantization
Jing Jin, Cai Liang, Tiancheng Wu +2
Recently, transformer-based language models such as BERT have shown tremendous performance improvement for a range of natural language processing tasks. However, these language mod…
cs.CL2020
BinaryBERT: Pushing the Limit of BERT Quantization
Haoli Bai, Wei Zhang, Lu Hou +6
The rapid development of large pre-trained language models has greatly increased the demand for model compression techniques, among which quantization is a popular solution. In thi…