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Feb, 2024
一种用于NLI模型领域泛化的合成数据方法
A synthetic data approach for domain generalization of NLI models
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Mohammad Javad Hosseini, Andrey Petrov, Alex Fabrikant, Annie Louis
TL;DR
自然语言推理是语言模型的重要基准任务,在领域泛化上的问题中,我们通过生成多样化的合成NLI数据,使得模型在全新的下游测试环境中具有最佳的泛化性能。
Abstract
natural language inference
(NLI) remains an important benchmark task for LLMs.
nli datasets
are a springboard for transfer learning to other semantic tasks, and NLI models are standard tools for identifying the f
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