arXiv Computation and Language September 4, 2026 By Harshad Khadilkar, Abhay Gupta

Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG

Read the original on arXiv Computation and Language →

The paper introduces Causal-Counterfactual RAG, a new framework that augments Retrieval-Augmented Generation with explicit causal graphs and counterfactual reasoning. By incorporating cause‑effect relationships into retrieval and evaluating both direct causal evidence and counterfactual scenarios, the approach aims to produce more robust, accurate, and interpretable answers. This method seeks to maintain contextual coherence, reduce hallucinations, and improve reasoning fidelity compared to traditional RAG systems.

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