CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation

• URL: http://arxiv.org/abs/2504.12560v1
• Date: Thu, 17 Apr 2025 01:15:13 GMT
• Title: CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation
• Authors: Elahe Khatibi, Ziyu Wang, Amir M. Rahmani,
• Abstract summary: We introduce Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation (CDF-RAG)<n>CDF-RAG iteratively refines queries, retrieves structured causal graphs, and enables multi-hop causal reasoning across interconnected knowledge sources.<n>We evaluate CDF-RAG on four diverse datasets, demonstrating its ability to improve response accuracy and causal correctness over existing RAG-based methods.
• Score: 3.8808821719659763
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Retrieval-Augmented Generation (RAG) has significantly enhanced large language models (LLMs) in knowledge-intensive tasks by incorporating external knowledge retrieval. However, existing RAG frameworks primarily rely on semantic similarity and correlation-driven retrieval, limiting their ability to distinguish true causal relationships from spurious associations. This results in responses that may be factually grounded but fail to establish cause-and-effect mechanisms, leading to incomplete or misleading insights. To address this issue, we introduce Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation (CDF-RAG), a framework designed to improve causal consistency, factual accuracy, and explainability in generative reasoning. CDF-RAG iteratively refines queries, retrieves structured causal graphs, and enables multi-hop causal reasoning across interconnected knowledge sources. Additionally, it validates responses against causal pathways, ensuring logically coherent and factually grounded outputs. We evaluate CDF-RAG on four diverse datasets, demonstrating its ability to improve response accuracy and causal correctness over existing RAG-based methods. Our code is publicly available at https://github.com/ elakhatibi/CDF-RAG.

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