Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning This paper investigates the relationship between the size of language models (LLMs) and their reasoning abilities, focusing on a synthetic multi-hop reasoning task based on real-world
Language Model Size and Reasoning Capability Scaling Laws
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