New White Paper: Recursive Cognitive Refinement for LLM Consistency
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New White Paper: Recursive Cognitive Refinement for LLM Consistency
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derpyderpderp
I just published a short research white paper introducing “Recursive Cognitive Refinement (RCR)”—an experimental method for reducing hallucinations and enforcing cross-turn logical consistency in LLMs.
The gist:
• Iterative self-validation loops that prompt a model to detect and fix its own contradictions
• Constraint-based adversarial probing to challenge reasoning at a deeper structural level
• Hierarchical reinforcement across longer conversations, aiming for near self-correcting AI
Would love feedback and any collaboration ideas, especially from folks tackling advanced LLM alignment or interpretability. I’m open to discussing how RCR could be integrated/tested at scale.
Link to the paper on ResearchGate: https://www.researchgate.net/publication/389050194_Recursive…