2025
Self-adaptive Dataset Construction for Real-World Multimodal Safety Scenarios
EMNLP 2025
Multimodal large language models (MLLMs) are rapidly evolving, presenting increasingly complex safety challenges. However, current dataset construction methods, which are risk-oriented, fail to cover the growing complexity of real-world multimodal safety scenarios (RMS). And due to the lack of a uni