QNLI
3 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in QNLI
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GLUE
QNLI
Most implemented papers
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
dayihengliu/CRQDA
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EMNLP 2020
In this paper, we propose a novel data augmentation method, referred to as Controllable Rewriting based Question Data Augmentation (CRQDA), for machine reading comprehension (MRC), question generation, and question-answering natural language inference tasks.
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
Combining large language models with logical reasoning enhances their capacity to address problems in a robust and reliable manner.
How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives
mainlp/how-to-distill-your-bert
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To the best of our knowledge, this is the first work comprehensively evaluating distillation objectives in both settings.
