Adaptive Visual Token Compression for Vision-Language Models
Published:Dec 20, 2025 20:24
•1 min read
•ArXiv
Analysis
This research explores a novel approach to compress visual tokens within vision-language models, potentially improving efficiency. The focus on 'complexity-aware' compression suggests an intelligent method for optimizing resource utilization.
Key Takeaways
- •Focuses on complexity-aware compression of visual tokens.
- •Aims to improve the efficiency of vision-language models.
- •Published on ArXiv, indicating early-stage research.
Reference
“The research is sourced from ArXiv.”