OSCAR: Orchestrated Self-verification and Cross-path Refinement
OSCAR: Orchestrated Self-verification and Cross-path Refinement explores A training-free framework that uses inherent model uncertainty to detect and correct hallucinations in generated text, improving factual accuracy.. Commercial viability score: 7/10 in LLM Hallucination Mitigation.
Updated 3 hours ago
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