paper
-with-
me
Papers
Browse State-of-the-Art
Datasets
Methods
AI Agents
Trends
Digest
🌙
Question Answering
벤치마크
Question Answering on SQuAD2.0 dev
13개 결과 ·
⬇ CSV
·
JSON
F1
73.4
77.7
82
86.3
90.6
2018-08
2026-09
RMR + ELMo (Model-III) — 74.8 (2018-08-17)
U-Net — 74.0 (2018-10-12)
XLNet (single model) — 90.6 (2019-06-19)
SpanBERT — 86.8 (2019-07-24)
RoBERTa (no data aug) — 89.4 (2019-07-26)
SG-Net — 87.9 (2019-08-14)
SemBERT large — 83.6 (2019-09-05)
TinyBERT-6 67M — 73.4 (2019-09-23)
ALBERT xxlarge — 88.1 (2019-09-26)
ALBERT xlarge — 85.9 (2019-09-26)
ALBERT large — 82.1 (2019-09-26)
ALBERT base — 79.1 (2019-09-26)
XLNet+DSC — 89.51 (2019-11-07)
RMR + ELMo (Model-III) — 74.8 (2018-08-17)
XLNet (single model) — 90.6 (2019-06-19)
2018-08-17 — RMR + ELMo (Model-III): F1 74.8
2019-06-19 — XLNet (single model): F1 90.6
Rank
Model
F1
EM
Extra Training Data
Paper
Code
Year
1
XLNet (single model)
90.6
87.9
XLNet: Generalized Autoregressive Pretraining for Language Understanding
huggingface/transformers
·
PaddlePaddle/PaddleNLP
·
zihangdai/xlnet
·
+24
2019
2
XLNet+DSC
89.51
87.65
Dice Loss for Data-imbalanced NLP Tasks
ShannonAI/dice_loss_for_NLP
·
fursovia/self-adj-dice
·
MindCode-4/code-6
·
+1
2019
3
RoBERTa (no data aug)
89.4
86.5
✓
RoBERTa: A Robustly Optimized BERT Pretraining Approach
huggingface/transformers
·
pytorch/fairseq
·
PaddlePaddle/PaddleNLP
·
+64
2019
4
ALBERT xxlarge
88.1
85.1
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
huggingface/transformers
·
tensorflow/models
·
PaddlePaddle/PaddleNLP
·
+45
2019
5
SG-Net
87.9
85.1
SG-Net: Syntax-Guided Machine Reading Comprehension
cooelf/SG-Net
2019
6
SpanBERT
86.8
–
SpanBERT: Improving Pre-training by Representing and Predicting Spans
facebookresearch/SpanBERT
·
mandarjoshi90/coref
·
zixinzeng-jennifer/spanbert_trans
·
+3
2019
7
ALBERT xlarge
85.9
83.1
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
huggingface/transformers
·
tensorflow/models
·
PaddlePaddle/PaddleNLP
·
+45
2019
8
SemBERT large
83.6
80.9
Semantics-aware BERT for Language Understanding
cooelf/SemBERT
2019
9
ALBERT large
82.1
79.0
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
huggingface/transformers
·
tensorflow/models
·
PaddlePaddle/PaddleNLP
·
+45
2019
10
ALBERT base
79.1
76.1
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
huggingface/transformers
·
tensorflow/models
·
PaddlePaddle/PaddleNLP
·
+45
2019
11
RMR + ELMo (Model-III)
74.8
72.3
Read + Verify: Machine Reading Comprehension with Unanswerable Questions
2018
12
U-Net
74.0
70.3
U-Net: Machine Reading Comprehension with Unanswerable Questions
FudanNLP/UNet
2018
13
TinyBERT-6 67M
73.4
69.9
TinyBERT: Distilling BERT for Natural Language Understanding
PaddlePaddle/PaddleNLP
·
huawei-noah/Pretrained-Language-Model
·
mindspore-ai/models
·
+7
2019
1–13 / 13
페이지당
10
20
50
100