Natural Language Inference on MultiNLI

Metric: Accuracy (higher is better)

LeaderboardDataset

Loading chart...

Results

Submit a result

Sort:

#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	MT-DNN-SMARTv0	85.7	No	SMART: Robust and Efficient Fine-Tuning for Pre-...	2019-11-08	Code
2	MT-DNN-SMART	85.7	No	SMART: Robust and Efficient Fine-Tuning for Pre-...	2019-11-08	Code
3	SMART+BERT-BASE	85.6	No	SMART: Robust and Efficient Fine-Tuning for Pre-...	2019-11-08	Code
4	LM-CPPF RoBERTa-base	68.4	No	LM-CPPF: Paraphrasing-Guided Data Augmentation f...	2023-05-29	Code

#1MT-DNN-SMARTv0SOTA
85.7
Accuracy· 2019-11-08
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization Code
#2MT-DNN-SMART
85.7
Accuracy· 2019-11-08
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization Code
#3SMART+BERT-BASE
85.6
Accuracy· 2019-11-08
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization Code
#4LM-CPPF RoBERTa-base
68.4
Accuracy· 2023-05-29
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning Code