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Scaling Instruction-Finetuned Language Models
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Mind’s Eye: Grounded Language Model Reasoning through Simulation
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UL2: Unifying Language Learning Paradigms
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Self-Consistency Improves Chain of Thought Reasoning in Language Models
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The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
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Challenging BIG-Bench tasks and whether chain-of-thought can solve them
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Large Language Models Encode Clinical Knowledge
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Inverse scaling can become U-shaped
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LARGER LANGUAGE MODELS DO IN-CONTEXT LEARNING DIFFERENTLY
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Emergent Abilities of Large Language Models
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