Distributed Implicit Harm: A Compositional Safety Blind Spot in MLLM-Based Video Moderation
cs.CV, cs.AI
Submitted: 2026-08-31
Updated: 2026-08-31
Terminology
Sources
- Qwen2.5-VL Technical Report
- Qwen3-VL Technical Report
- Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- VLSBench: Unveiling Visual Leakage in Multimodal Safety
- LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Gemini: A Family of Highly Capable Multimodal Models
- Introducing v0.5 of the AI Safety Benchmark from MLCommons
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
- InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
- Qwen2.5-Omni Technical Report
- Qwen3-Omni Technical Report
- Qwen3 Technical Report
- MiniCPM-V: A GPT-4V Level MLLM on Your Phone
- ShieldGemma 2: Robust and Tractable Image Content Moderation
- VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
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