CatRAG: Functor-Guided Structural Debiasing with Retrieval Augmentation for Fair LLMs
CatRAG: Functor-Guided Structural Debiasing with Retrieval Augmentation for Fair LLMs explores A novel framework integrating category theory and RAG to significantly reduce bias in LLMs while maintaining accuracy, achieving state-of-the-art results on fairness benchmarks.. Commercial viability score: 7/10 in LLM Debiasing.
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