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AI / LLM Systems
LLM Reliability & EvaluationSelf-Correcting LLM Reasoning
A framework that makes language models more dependable by having them slow down, check their own reasoning, and improve the answer before returning it.
anis151993.github.io/Self-Correcting-LLM-localhost/
The problem
LLMs are confident even when wrong; a single pass often hides subtle errors in mathematical reasoning.
Our solution
A three-stage generate → critique → revise loop that lets the model catch and correct its own mistakes, improving accuracy and reliability.
Key features & outcomes
- Three-stage self-correction loop
- Improved reasoning accuracy
- Reliability evaluation
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