Papers by Minyi Zhao

2 papers
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification (2022.naacl-main)

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Challenge: Existing methods for data augmentation do not fully exploit the potential of DA in NLP.
Approach: They propose an easy and plug-in framework for data augmentation to support effective text classification.
Outcome: The proposed framework outperforms existing methods in most cases, but not using agent networks or pre-trained generation networks.
VENUS: A VLLM-driven Video Content Discovery System for Real Application Scenarios (2025.emnlp-industry)

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Challenge: Video Content Discovery (VCD) is to identify specific videos defined by a pre-specified text policy.
Approach: They propose a Vision-Language Large Model-driven video content discovery system called VENUS to solve these problems.
Outcome: The proposed system generates high-quality, VCD-specific data for model training and extends it to support it better.

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