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Despite recent successes of large pre-trained language models in solving reasoning tasks, their inference capabilities remain opaque.
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Story ending generation with incremental encoding and commonsense knowledge
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Language models are unsupervised multitask learners
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Automated storytelling via causal, commonsense plot ordering
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Generating hypothetical events for abductive inference
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