self-critique

**Self-critique** is the **prompting approach where a model evaluates weaknesses in its own answer using explicit review criteria** - it separates generation from quality assessment to improve correction quality. **What Is Self-critique?** - **Definition**: Dedicated critique pass that identifies factual, logical, stylistic, or safety issues in a generated response. - **Role Separation**: Model is prompted to act as reviewer rather than creator during critique stage. - **Output Form**: Usually produces issue list, severity levels, and actionable fix recommendations. - **Pipeline Position**: Often inserted between initial generation and final refinement. **Why Self-critique Matters** - **Error Detection**: Reviewer framing helps surface problems missed during first-pass generation. - **Quality Governance**: Supports policy and standard compliance checks before release. - **Iterative Improvement**: Critique outputs provide structured guidance for targeted revision. - **Human Efficiency**: Reduces manual review effort by pre-identifying likely issues. - **System Robustness**: Encourages more disciplined output validation in autonomous workflows. **How It Is Used in Practice** - **Critique Rubric**: Define mandatory review dimensions and unacceptable failure patterns. - **Structured Output**: Require concise issue reports with evidence and suggested correction. - **Refinement Linkage**: Ensure revision step addresses each critique item explicitly. Self-critique is **a high-value quality-control component in prompt pipelines** - structured self-review improves reliability by turning implicit model uncertainty into explicit corrective guidance.