Papers by Huiyi Liu

2 papers
One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit (2025.acl-long)

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Challenge: Existing methods for modifying large language models focus on individual models, resulting in errors and hallucinations.
Approach: They propose an ensemble-based approach that employs a plug-in model as the editing module and a dynamic weight mechanism to enhance its effectiveness.
Outcome: The proposed approach outperforms existing methods while achieving superior editing efficiency.
Using Persuasive Writing Strategies to Explain and Detect Health Misinformation (2024.lrec-main)

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Challenge: Increasing misinformation has led to a decrease in trust in news organizations and a decline in the health and medical industry.
Approach: They propose a novel annotation scheme that incorporates persuasive writing tactics in textual documents to aid the automatic identification of misinformation.
Outcome: The proposed scheme improves accuracy and explainability of misinformation detection models.

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