Papers by Linghan Zheng

1 papers
EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary (2025.acl-industry)

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Challenge: Existing document question answering methods reduce inference costs and input tokens.
Approach: They propose a retrieval-augmented generation method that automatically extracts useful entities and generates summaries from documents.
Outcome: The proposed method surpasses baseline retrieval-augmented generation (RAG) and long-context question answering (LC) methods achieve higher accuracy by processing entire documents, but at the cost of increased computational Corresponding authors.

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