作者位次 #6/15ACL 2026Poster· Natural Language Processing
USB : A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS
Baolin Zheng · Guanlin Chen · Qingyang Teng · Hongqiong Zhong · Yingshui Tan · Zhendong Liu · Weixun Wang · JIAHENG LIU · Jian Yang · Huiyun Jing · Jincheng Wei · Wenbo Su · Xiaoyong Zhu · Zerui Huang (Taobao & · Kaifu Zhang
摘要
Despite their rapid advancement, Multimodal Large Language Models (MLLMs) remain vulnerable to diverse safety risks. Current benchmarks fail to provide reliable assessments due to limited risk coverage, insufficient scale, and the oversight of complex modality combinations (e.g., cross-modal risk...