Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models

Documenti analoghi

• Routing Experts: Learning to Route Dynamic Experts in Multi-modal Large Language Models
  di: Wu, Qiong, et al.
  Pubblicazione: (2024)
• Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models
  di: Ye, Weihao, et al.
  Pubblicazione: (2024)
• Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings
  di: Wu, Qiong, et al.
  Pubblicazione: (2024)
• Grounded Chain-of-Thought for Multimodal Large Language Models
  di: Wu, Qiong, et al.
  Pubblicazione: (2025)
• MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization
  di: Chen, Tao, et al.
  Pubblicazione: (2023)