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Research questionHow can retrieval-augmented generation reason causally over dynamic external information without losing context?Similarity-based retrieval over text chunks can separate cause-and-effect evidence, producing shallow or inaccurate answers when external information changes.
AI
Information Retrieval
Natural Language Processing
Reasoning
Retrieval-Augmented Generation
Latest papersRecent research connected to this question, newest first.Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAGThe source describes a framework using explicit causal graphs, direct causal evidence, and counterfactual reasoning about associated causes. It does not specify application domains, datasets, or deployment constraints.research paper · Sep 3, 2026
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