Ask4VG: Risk-Aware Question Selection for Reducing Prior-Driven Answers in Medical VQA

Documenti analoghi

• Structure Causal Models and LLMs Integration in Medical Visual Question Answering
  di: Xu, Zibo, et al.
  Pubblicazione: (2025)
• Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA
  di: Xu, Zibo, et al.
  Pubblicazione: (2026)
• Dual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQA
  di: Xu, Zibo, et al.
  Pubblicazione: (2026)
• Less Detail, Better Answers: Degradation-Driven Prompting for VQA
  di: Han, Haoxuan, et al.
  Pubblicazione: (2026)
• FreeInsert: Disentangled Text-Guided Object Insertion in 3D Gaussian Scene without Spatial Priors
  di: Li, Chenxi, et al.
  Pubblicazione: (2025)