Papers by Yuzhi Liang

2 papers
PivotAttack: Rethinking the Search Trajectory in Hard-Label Text Attacks via Pivot Words (2026.findings-acl)

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Challenge: Existing hard-label text attacks rely on inefficient "outside-in" strategies that traverse vast search spaces.
Approach: They propose a query-efficient "inside-out" framework that perturbs Pivot Sets to induce label flips.
Outcome: The proposed framework outperforms state-of-the-art methods in both Attack Success Rate and query efficiency.
Temporal-Aware Soft Prompt Tuning for Automatic Text Dating (2025.naacl-long)

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Challenge: Existing methods for automatic text dating overlook the evolution of word meanings in texts spanning long periods.
Approach: They propose a temporal-aware text representation that dynamically captures both semantic variance and invariance.
Outcome: The proposed approach outperforms existing methods on two diachronic datasets.

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