Papers with RAG-based in-context information

1 papers
Eliciting Critical Reasoning in Retrieval-Augmented Generation via Contrastive Explanations (2025.naacl-long)

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Challenge: Recent studies show that LLMs struggle to critically analyse RAG-based in-context information.
Approach: They propose a framework that elicits critical arguments in RAG via contrastive explanations . they propose CRAG to retrieve relevant documents given a query and generate explanations that explicitly contrast relevance of passages to support the final answer.
Outcome: The proposed framework improves state-of-the-art RAG models while requiring significantly fewer prompts and demonstrations and robust to perturbations in the retrieved documents.

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