3 papers
cs.CL2026
IPS: In-Prompt Process Supervision for Short Video Content Moderation
Mingchao Liu, Yu Sun, Ruixiao Sun +5
Multimodal large language models (MLLMs) are effective at capturing the semantics of short video content; however, they often fail to attend to the policy-specific details required…
cs.CV2026
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…
cs.CV2025
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…