MNLI-m
1 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in MNLI-m
Most implemented papers
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
yumeng5/supergen
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Pretrained language models (PLMs) have demonstrated remarkable performance in various natural language processing tasks: Unidirectional PLMs (e. g., GPT) are well known for their superior text generation capabilities; bidirectional PLMs (e. g., BERT) have been the prominent choice for natural language understanding (NLU) tasks.
