2 citations · 4 across the 4 of their papers we have counts for
5 papers
Towards Autopilot Labeling for Short Video Content Governance
Junwen Chen, Hongwei Wang, Zixuan Wang +12
The explosive growth of short videos has presented significant challenges to content governance. Traditional manual labeling is inefficient, slow to iterate, and costly. Therefore,…
When Rules Fall Short: Agent-Driven Discovery of Emerging Content Issues in Short Video Platforms
Chenghui Yu, Hongwei Wang, Junwen Chen +5
Trends on short-video platforms evolve at a rapid pace, with new content issues emerging every day that fall outside the coverage of existing annotation policies. However, traditio…
Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance
Zixuan Wang, Yu Sun, Hongwei Wang +6
Short video platforms are evolving rapidly, making the identification of inappropriate content increasingly critical. Existing approaches typically train separate and small classif…
Embedding-based Retrieval in Multimodal Content Moderation
Hanzhong Liang, Jinghao Shi, Xiang Shen +6
Video understanding plays a fundamental role for content moderation on short video platforms, enabling the detection of inappropriate content. While classification remains the domi…
CPFD: Confidence-aware Privileged Feature Distillation for Short Video Classification
Jinghao Shi, Xiang Shen, Kaili Zhao +5
Dense features, customized for different business scenarios, are essential in short video classification. However, their complexity, specific adaptation requirements, and high comp…