Natural Language Inference on SciTail

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	CA-MTL	96.8	No	Conditionally Adaptive Multi-Task Learning: Impr...	2020-09-19	Code
2	MT-DNN	94.1	No	Multi-Task Deep Neural Networks for Natural Lang...	2019-01-31	Code
3	Finetuned Transformer LM	88.3	No	-	-	-
4	Finetuned Transformer LM	88.3	No	-	-	Code
5	Hierarchical BiLSTM Max Pooling	86	No	Sentence Embeddings in NLI with Iterative Refine...	2018-08-27	Code
6	RE2	86	No	Simple and Effective Text Matching with Richer A...	2019-08-01	Code
7	CAFE	83.3	No	Compare, Compress and Propagate: Enhancing Neura...	2017-12-30	-
8	SplitEE-S	78.9	No	SplitEE: Early Exit in Deep Neural Networks with...	2023-09-17	Code

#1CA-MTLSOTA
96.8
Accuracy· 2020-09-19
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data Code
#2MT-DNNSOTA
94.1
Accuracy· 2019-01-31
Multi-Task Deep Neural Networks for Natural Language Understanding Code
#3Finetuned Transformer LM
88.3
Accuracy
No paper
#4Finetuned Transformer LM
88.3
Accuracy
No paperCode
#5Hierarchical BiLSTM Max PoolingSOTA
86
Accuracy· 2018-08-27
Sentence Embeddings in NLI with Iterative Refinement Encoders Code
#6RE2
86
Accuracy· 2019-08-01
Simple and Effective Text Matching with Richer Alignment Features Code
#7CAFESOTA
83.3
Accuracy· 2017-12-30
Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference
#8SplitEE-S
78.9
Accuracy· 2023-09-17
SplitEE: Early Exit in Deep Neural Networks with Split Computing Code