"Self-critique without reliable external feedback can degrade language-model reasoning, sometimes changing correct answers into incorrect ones."
Huang and colleagues investigated intrinsic self-correction, where models revise their initial reasoning using only their own feedback. They found that this process often failed to improve accuracy and sometimes reduced performance, demonstrating why additional critique steps do not automatically make a language-model workflow more reliable.
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