Papers by Jingzhe Zhu

2 papers
KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding (2024.lrec-main)

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Challenge: Existing methods for integrating layout and image features into pre-training language models are not suitable for few-shot settings.
Approach: They propose to reformulate VrDU tasks into a single question-answering format with task-specific prompts and train the pre-trained model with the parameter-efficient prompt tuning method.
Outcome: The proposed framework can be used in few-shot settings and reduces data requirements.
RISK: A Framework for GUI Agents in E-commerce Risk Management (2026.acl-long)

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Challenge: RISK is a framework designed to automate multi-step web interactions in e-commerce risk management.
Approach: a new framework is designed to build and deploy GUI agents for e-commerce risk management . RISK-R1 provides a scalable, domain-specific solution for automating complex web interactions .
Outcome: RISK provides a scalable, domain-specific solution for automating complex web interactions in e-commerce risk management.

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