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Self-Critique(SC)
Agent evaluates its own outputs through systematic analysis and generates targeted improvements
In 30 seconds
- What
- Agent generates output, then systematically identifies flaws and produces a corrected version without external feedback.
- When to use
- Tasks where the agent can reliably spot its own mistakes, like code review, writing polish, or logic validation.
- Watch out
- Agent may reinforce its own biases or miss the exact errors it originally made, especially under time pressure.
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Self-Critique: Overview
Agent evaluates its own outputs through systematic analysis and generates targeted improvements
- Systematic quality assessment
- Error identification and correction
- Iterative refinement cycles
- Confidence scoring
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References
The papers, specifications, and repositories this pattern is based on.
- Self-Refine: Iterative Refinement with Self-Feedback (Madaan et al., 2023)arXiv:2303.17651
- Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022)arXiv:2212.08073
- CRITIC: Large Language Models Can Self-Correct (Gou et al., 2024)arXiv:2305.11738
- Self-Consistency Improves Chain of Thought Reasoning (Wang et al., 2022)arXiv:2203.11171
- LangChain Self-Critique Chains Documentation
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