Machine Reading Comprehension on DRCD (test) benchmark leaderboard · SOTA2 Research

Machine Reading Comprehension on DRCD (test)

91.7EMMacBERT-large

Evaluation Results

Method	Links
MacBERT-large2020.04		91.7	95.6
MacBERT-large2019.06		91.7	95.6
MacBERT2022.03		91.7	95.6
MacBERT2022.11		91.7	95.6
LERT2022.11		91.5	95.9
PERT2022.03		91.1	95.2
PERT2022.11		91.1	95.2
LERT2022.11		90.5	94.9
RoBERTa-wwm-ext-L2020.04		89.6	94.5
ROBERTa-wwm-ext-large2019.06		89.6	94.5
RoBERTa2022.03		89.6	94.5
RoBERTa2022.11		89.6	94.5
MacBERT-base2020.04		89.5	93.8
MacBERT-base2019.06		89.5	93.8
MacBERT2022.03		89.5	93.8
MacBERT2022.11		89.5	93.8
ERNIE 2.02019.07		89	94.2
PERT2022.03		89	93.5
PERT2022.11		89	93.5
ELECTRA-large2020.04		88.8	93.6
ELECTRA-large2019.06		88.8	93.6
ELECTRA2022.03		88.8	93.6
ELECTRA2022.11		88.8	93.6
ERNIE 2.02019.07		88	93.4
ELECTRA-base2020.04		86.9	91.8
ELECTRA-base2019.06		86.9	91.8
ELECTRA2022.03		86.9	91.8
ELECTRA2022.11		86.9	91.8
RoBERTa-wwm-ext2020.04		85.6	92
ROBERTa-wwm-ext2019.06		85.6	92
RoBERTa2022.03		85.6	92
RoBERTa2022.11		85.6	92
XLNet2020.04		85.5	93.6
BERT2019.07		84.9	90.9
ERNIE 1.02019.07		84	90.5
BERT-wwm-ext2020.04		83.6	90.4
BERT-wwm-ext2019.06		83.6	90.4
BERT2022.03		83.6	90.4
BERT2022.11		83.6	90.4
XLNet2020.04		83.5	92.2
BERT-wwm2020.04		82.8	89.7
BERT-wwm2019.06		82.8	89.7
BERT2020.04		82.2	89.2
BERT2020.04		82.2	89.2
BERT2019.06		82.2	89.2