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least_to_most_prompting

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least_to_most_prompting [2026/03/24 19:13] – Create page with researched content on Least-to-Most Prompting agentleast_to_most_prompting [2026/03/24 21:57] (current) – Add least-to-most decomposition diagram agent
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 **Least-to-Most Prompting (LtM)** is a prompting paradigm introduced by Zhou et al. at Google Research in 2022 that enables LLMs to solve complex problems by decomposing them into an ordered sequence of simpler sub-problems, solved from easiest to hardest. Each sub-problem's solution is passed as context to the next, enabling compositional generalization far beyond what standard few-shot prompting achieves. **Least-to-Most Prompting (LtM)** is a prompting paradigm introduced by Zhou et al. at Google Research in 2022 that enables LLMs to solve complex problems by decomposing them into an ordered sequence of simpler sub-problems, solved from easiest to hardest. Each sub-problem's solution is passed as context to the next, enabling compositional generalization far beyond what standard few-shot prompting achieves.
 +
 +<mermaid>
 +graph LR
 +    A[Complex Question Q] --> B[Decompose]
 +    B --> C[Sub-Q1 easiest]
 +    C --> D[Answer A1]
 +    D --> E[Sub-Q2 + A1 context]
 +    E --> F[Answer A2]
 +    F --> G[Sub-Qn + all prior As]
 +    G --> H[Final Answer]
 +</mermaid>
  
 ===== Overview ===== ===== Overview =====
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