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An Incomplete Loop: Deductive, Inductive, and Abductive Reasoning in Language Models
Modern language models (LMs) can learn to perform new tasks in different ways: in instruction following, the target task is described explicitly in natural language; in few-shot prompting, the task is specified implicitly with a small number of examples; in instruction inference, LMs are presented w
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