Papers by Yuqing Ding

1 papers
InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering (2025.emnlp-main)

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Challenge: Retrieval-Augmented Generation (RAG) frameworks struggle with identifying whether retrieved documents meaningfully contribute to answer generation.
Approach: They propose a document-related metric to quantify the contribution of retrieved documents to correct answer generation.
Outcome: The proposed framework outperforms existing approaches on both single and multiple retrieval paradigms.

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