Papers by Zhendong Zhao

2 papers
UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction (2022.emnlp-main)

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Challenge: Existing approaches to extract rich correlations between entities and relations are not fully exploited by existing methods.
Approach: They propose to unify entities and relations by jointly encoding them within a concatenated natural language sequence and unify the modeling of interactions with a proposed Interaction Map.
Outcome: The proposed method is more efficient and efficient than existing methods and can be scaled up to 2021.
Watermarking with Low-Entropy POS-Guided Token Partitioning and Z-Score-Driven Dynamic Bias for Large Language Models (2025.findings-emnlp)

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Challenge: Existing watermarking methods reduce the fidelity of semantics in LLMs .
Approach: They propose a low-entropy token partitioning mechanism and z-score-driven dynamic bias mechanism to enhance semantics.
Outcome: The proposed framework improves semantic fidelity and robustness against bias sparsity attacks.

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