Explaining Question Answering Models through Text Generation

12 Apr 2020Veronica LatcinnikJonathan Berant

Large pre-trained language models (LMs) have been shown to perform surprisingly well when fine-tuned on tasks that require commonsense and world knowledge. However, in end-to-end architectures, it is difficult to explain what is the knowledge in the LM that allows it to make a correct prediction... (read more)

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