Bi-MCQ: Reformulating Vision-Language Alignment for Negation Understanding
Bi-MCQ:重新表述视觉-语言对齐以理解否定
机构 * Department of Electrical and Computer Engineering, Inha University, Republic of Korea(电气与计算机工程系,印哈大学,大韩民国) ; College of Medicine, Inha University, Republic of Korea(医学学院,印哈大学,大韩民国)
专题命中 医疗多模态 :medical image(abstract);分类 cs.CV、cs.LG
AI总结 Bi-MCQ通过重新表述视觉-语言对齐为条件语义比较,提升医学VLM对否定理解的性能。
Comments 15 pages, 4 figures, Submitted to ICPR 2026 (under review)