Papers by Zhiyang Zuo

1 papers
Test-Time Strategies for More Efficient and Accurate Agentic RAG (2026.acl-srw)

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Challenge: Retrieval-Augmented Generation (RAG) systems face challenges with complex, multi-hop questions.
Approach: They propose to integrate contextualization module and de-duplication module to improve the accuracy of retrieved documents and to reduce the number of turns by 10.5%.
Outcome: The proposed approach achieves a 5.6% increase in EM score and reduces the average number of turns by 10.5% compared to the baseline.

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