Papers by Yubin Zheng

2 papers
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models (2024.acl-long)

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Challenge: Recent work has demonstrated the power of large language models in recalling knowledge and reasoning.
Approach: They propose to erase shortcut neurons to mitigate the associated risks . 20% of the failures are attributed to shortcuts, they find .
Outcome: The proposed approach reduces failures in multi-hop knowledge editing caused by shortcuts by 20% .
Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts (2023.findings-acl)

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Challenge: Existing studies on the interpretability and transferability of continuous prompts have not been conducted on the subject.
Approach: They propose to interpret continuous prompts as the weighting of discrete prompts by jointly optimizing prompt fidelity and downstream fidelity.
Outcome: The proposed interpretations provide effective readability and plausibility, which is helpful to understand the decision-making of continuous prompts and discover potential shortcuts.

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