Papers by Yuzhen Xiao

1 papers
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning (2025.acl-long)

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Challenge: Existing methods for integrating internal and external knowledge lack effective control mechanisms for generating hallucinations and dealing with outdated knowledge.
Approach: They propose a framework that decouples, identifies, and purposefully optimizes parameter subspaces related to adherence and robustness.
Outcome: The proposed framework decouples, identifies, and purposefully optimizes parameter subspaces related to adherence and robustness.

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