Intrinsic Self-Correction in LLMs: Towards Explainable Prompting via Mechanistic Interpretability
Yu-Ting Lee, Fu-Chieh Chang, Yu-En Shu, Hui-Ying Shih, Pei-Yuan Wu
cs.CL, cs.AI, cs.LG
Submitted: 2026-08-21
Updated: 2026-08-24
Code: https://github.com/Yu-TingLee/llm-self-correction-mech-interp
Terminology
Sources
- On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept
- Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models
- Steering Language Models With Activation Engineering
- Representation Engineering: A Top-Down Approach to AI Transparency
- Unveiling the Latent Directions of Reflection in Large Language Models
- Mistral 7B
- LFM2 Technical Report
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