The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions

28 Apr 2020Xiang ZhouYixin NieHao TanMohit Bansal

We find that the performance of state-of-the-art models on Natural Language Inference (NLI) and Reading Comprehension (RC) analysis/stress sets can be highly unstable. This raises three questions: (1) How will the instability affect the reliability of the conclusions drawn based on these analysis sets?.. (read more)

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