Papers by Xiaopeng Xie

2 papers
Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning (2024.emnlp-main)

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Challenge: Prompt-based learning paradigms are vulnerable to backdoor attacks, requiring false activations and false data augmentation.
Approach: They propose a method that uses triggers to create stronger shortcuts by leveraging activation values and data selection strategies to create the shortcuts.
Outcome: The proposed method is based on the concept that a backdoor acts as a shortcut and can achieve high effectiveness and stealthiness at low poisoning rates.
Hierarchical Attention Graph for Scientific Document Summarization in Global and Local Level (2024.findings-naacl)

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Challenge: Existing methods for document summarization focus on one type of relation, neglecting the simultaneous effective modeling of both relations.
Approach: They propose a graph neural network-based approach to local and global document summarization using hierarchical discourses.
Outcome: The proposed approach improves on two benchmark datasets and shows that hierarchical structures are important for document summarization.

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