Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models

Documenti analoghi

• Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
  di: Jiang, Jiachen, et al.
  Pubblicazione: (2024)
• MSR-Align: Policy-Grounded Multimodal Alignment for Safety-Aware Reasoning in Vision-Language Models
  di: Xia, Yinan, et al.
  Pubblicazione: (2025)
• Improving Visual Discriminability of CLIP for Training-Free Open-Vocabulary Semantic Segmentation
  di: Zhou, Jinxin, et al.
  Pubblicazione: (2025)
• Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
  di: Cui, Chenhang, et al.
  Pubblicazione: (2024)
• Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving
  di: Li, Yue, et al.
  Pubblicazione: (2025)