Machine Reading Comprehension on CMRC Simplified Chinese 2018 (Challenge) benchmark leaderboard · SOTA2 Research

Machine Reading Comprehension on CMRC Simplified Chinese 2018 (Challenge)

32.3EMPERT

Evaluation Results

Method	Links
PERT2022.03		32.3	59.2
MacBERT-large2020.04		31.9	60.2
MacBERT-large2019.06		31.9	60.2
MacBERT2022.03		31.9	60.2
RoBERTa-wwm-ext large2020.04		31.5	60.1
ROBERTa-wwm-ext-large2019.06		31.5	60.1
RoBERTa2022.03		31.5	60.1
MacBERT-base2020.04		30.2	54
MacBERT-base2019.06		30.2	54
MacBERT2022.03		30.2	54
XLNet-mid2020.04		29.1	55.8
PERT2022.03		28.7	55.4
RoBERTa-wwm-ext2020.04		26.2	51
ROBERTa-wwm-ext2019.06		26.2	51
RoBERTa2022.03		26.2	51
XLNet-base2020.04		25	51.3
BERT-wwm-ext2020.04		24	47.3
BERT-wwm-ext2019.06		24	47.3
BERT2022.03		24	47.3
ELECTRA-large2020.04		23	44.2
ELECTRA-large2019.06		23	44.2
ELECTRA2022.03		23	44.2
ELECTRA-base2020.04		22.6	45
ELECTRA-base2019.06		22.6	45
ELECTRA2022.03		22.6	45
BERT-wwm2020.04		21	47
BERT-wwm2019.06		21	47
BERT2020.04		18.6	43.3
BERT2020.04		18.6	43.3
BERT2019.06		18.6	43.3