SNLI

Overview edit

Variants: SNLI, JSNLI

Associated Benchmarks

This dataset is used in 1 benchmark:

• Natural Language Inference - Metrics: % Test Accuracy, % Train Accuracy, Parameters, Dev Accuracy, % Dev Accuracy, Accuracy

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI (2024) -
• SplitEE: Early Exit in Deep Neural Networks with Split Computing (2023) -
• DEIM: An effective deep encoding and interaction model for sentence matching (2022) -
• Entailment as Few-Shot Learner (2021) -
• Self-Explaining Structures Improve NLP Models (2020) -
• Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data (2020) -
• SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization (2019) -
• Semantics-aware BERT for Language Understanding (2019) -
• DELTA: A DEep learning based Language Technology plAtform (2019) -
• Simple and Effective Text Matching with Richer Alignment Features (2019) -
• Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference (2019) -
• Star-Transformer (2019) -
• Multi-Task Deep Neural Networks for Natural Language Understanding (2019) -
• Attention Boosted Sequential Inference Model (2018) -
• Parameter Re-Initialization through Cyclical Batch Size Schedules (2018) -
• Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News (2018) -
• Explicit Contextual Semantics for Text Comprehension (2018) -
• Cell-aware Stacked LSTMs for Modeling Sentences (2018) -
• Sentence Embeddings in NLI with Iterative Refinement Encoders (2018) -
• Dynamic Self-Attention : Computing Attention over Words Dynamically for Sentence Embedding (2018) -