Papers with Hallucination-Detection datasets

1 papers
Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation (2025.findings-emnlp)

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Challenge: RAG implementations face challenges in addressing retrieved noise and redundant content . current RAG methods lack the ability to exploit fine-grained inter-document relationships .
Approach: They propose a retrieval-augmented generation framework that exploits latent inter-document relationships while removing irrelevant information and redundant content.
Outcome: The proposed framework achieves consistent performance improvements on knowledge-QA and hallucination-Detection datasets.

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