Papers by Rongzhi Zhu

1 papers
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering (2025.acl-long)

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Challenge: Empirical results show that ChainRAG consistently outperforms baselines in both effectiveness and efficiency.
Approach: They propose a method which sequentially handles each sub-question by completing missing key entities and retrieving relevant sentences from a sentence graph for answer generation.
Outcome: The proposed method outperforms baselines on three multi-hop QA datasets.

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