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Large Language Models are Zero-Shot Reasoners
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Least-to-Most Prompting Enables ComplexReasoning in Large Language Models
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Can language models learn from explanations in context?
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Self-Consistency Improves Chain of Thought Reasoning in Language Models
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Transformer Memory as a Differentiable Search Index
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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Show Your Work: Scratchpads for Intermediate Computation with Language Models
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Finetuned Language Models Are Zero-Shot Learners
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PaLM: Scaling Language Modeling with Pathways
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Mapping Language Models to Grounded Conceptual Spaces
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