Paraphrase Identification on Quora Question Pairs

Metric: Accuracy (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	data2vec	92.4	No	data2vec: A General Framework for Self-supervise...	2022-02-07	Code
2	Charformer-Tall	91.4	No	Charformer: Fast Character Transformers via Grad...	2021-06-23	Code
3	RealFormer	91.34	No	RealFormer: Transformer Likes Residual Attention	2020-12-21	Code
4	StructBERTRoBERTa ensemble	90.7	No	StructBERT: Incorporating Language Structures in...	2019-08-13	-
5	MFAE	90.54	No	-	-	Code
6	XLNet-Large (ensemble)	90.3	No	XLNet: Generalized Autoregressive Pretraining fo...	2019-06-19	Code
7	Snorkel MeTaL(ensemble)	89.9	No	Training Complex Models with Multi-Task Weak Sup...	2018-10-05	Code
8	MT-DNN	89.6	No	Multi-Task Deep Neural Networks for Natural Lang...	2019-01-31	Code
9	SpanBERT	89.5	No	SpanBERT: Improving Pre-training by Representing...	2019-07-24	Code
10	RE2	89.2	No	Simple and Effective Text Matching with Richer A...	2019-08-01	Code
11	MwAN	89.12	No	-	-	Code
12	DIIN	89.06	No	Natural Language Inference over Interaction Space	2017-09-13	Code
13	MSEM	88.86	No	Multi-task Sentence Encoding Model for Semantic ...	2019-11-18	-
14	Bi-CAS-LSTM	88.6	No	Cell-aware Stacked LSTMs for Modeling Sentences	2018-09-07	-
15	pt-DecAtt	88.4	No	Neural Paraphrase Identification of Questions wi...	2017-04-15	-
16	TRANS-BLSTM	88.28	No	TRANS-BLSTM: Transformer with Bidirectional LSTM...	2020-03-16	-
17	BiMPM	88.17	No	Bilateral Multi-Perspective Matching for Natural...	2017-02-13	Code
18	GenSen	87.01	No	Learning General Purpose Distributed Sentence Re...	2018-03-30	Code
19	1-3[0.8pt/2pt] Random	80	No	Self-Explaining Structures Improve NLP Models	2020-12-03	Code
20	FreeLB	74.8	No	SMART: Robust and Efficient Fine-Tuning for Pre-...	2019-11-08	Code

#1data2vecSOTA
92.4
Accuracy· 2022-02-07
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language Code
#2Charformer-TallSOTA
91.4
Accuracy· 2021-06-23
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization Code
#3RealFormerSOTA
91.34
Accuracy· 2020-12-21
RealFormer: Transformer Likes Residual Attention Code
#4StructBERTRoBERTa ensembleSOTA
90.7
Accuracy· 2019-08-13
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding
#5MFAE
90.54
Accuracy
No paperCode
#6XLNet-Large (ensemble)SOTA
90.3
Accuracy· 2019-06-19
XLNet: Generalized Autoregressive Pretraining for Language Understanding Code
#7Snorkel MeTaL(ensemble)SOTA
89.9
Accuracy· 2018-10-05
Training Complex Models with Multi-Task Weak Supervision Code
#8MT-DNN
89.6
Accuracy· 2019-01-31
Multi-Task Deep Neural Networks for Natural Language Understanding Code
#9SpanBERT
89.5
Accuracy· 2019-07-24
SpanBERT: Improving Pre-training by Representing and Predicting Spans Code
#10RE2
89.2
Accuracy· 2019-08-01
Simple and Effective Text Matching with Richer Alignment Features Code
#11MwAN
89.12
Accuracy
No paperCode
#12DIINSOTA
89.06
Accuracy· 2017-09-13
Natural Language Inference over Interaction Space Code
#13MSEM
88.86
Accuracy· 2019-11-18
Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems
#14Bi-CAS-LSTM
88.6
Accuracy· 2018-09-07
Cell-aware Stacked LSTMs for Modeling Sentences
#15pt-DecAttSOTA
88.4
Accuracy· 2017-04-15
Neural Paraphrase Identification of Questions with Noisy Pretraining
#16TRANS-BLSTM
88.28
Accuracy· 2020-03-16
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding
#17BiMPMSOTA
88.17
Accuracy· 2017-02-13
Bilateral Multi-Perspective Matching for Natural Language Sentences Code
#18GenSen
87.01
Accuracy· 2018-03-30
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning Code
#191-3[0.8pt/2pt] Random
80
Accuracy· 2020-12-03
Self-Explaining Structures Improve NLP Models Code
#20FreeLB
74.8
Accuracy· 2019-11-08
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization Code