Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models

Ähnliche Einträge

• FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
  von: Huang, Chengyue, et al.
  Veröffentlicht: (2025)
• Directional Gradient Projection for Robust Fine-Tuning of Foundation Models
  von: Huang, Chengyue, et al.
  Veröffentlicht: (2025)
• The Geometry of Robustness: Optimizing Loss Landscape Curvature and Feature Manifold Alignment for Robust Finetuning of Vision-Language Models
  von: Chopra, Shivang, et al.
  Veröffentlicht: (2026)
• Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
  von: Tian, Junjiao, et al.
  Veröffentlicht: (2024)
• MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization
  von: Huang, Chengyue, et al.
  Veröffentlicht: (2025)