ANLI (Adversarial NLI)
Introduced by Nie et al. in Adversarial NLI: A New Benchmark for Natural Language Understanding
The Adversarial Natural Language Inference (ANLI, Nie et al.) is a new large-scale NLI benchmark dataset, collected via an iterative, adversarial human-and-model-in-the-loop procedure. Particular, the data is selected to be difficult to the state-of-the-art models, including BERT and RoBERTa.
Source: The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language UnderstandingBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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ANLI test
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T5-3B
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ANLI
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MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli
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Papers
| Paper | Code | Results | Date | Stars |
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