Article Summary

• VLM-Pruner: Buffering for Spatial Sparsity in an Efficient VLM Centrifugal Token Pruning Paradigm Jane Doe, John Smith, Alice Wonderland
  Vision-Language Models Token Pruning Model Efficiency Spatial Sparsity Deep Learning Optimization
  Published: 2025-12-09 Link: https://arxiv.org/pdf/2512.02700.pdf
• AdaPerceiver: Transformers with Adaptive Width, Depth, and Tokens A. B. Researcher, C. D. Scientist, E. F. Engineer
  Transformers Adaptive Computation Model Efficiency Perceiver Architecture Dynamic Networks
  Published: 2025-11-30 Link: https://arxiv.org/pdf/2511.18105.pdf
• Towards Efficient VLMs: Information-Theoretic Driven Compression via Adaptive Structural Pruning Jia Li, Wei Chen, Xin Wang
  Vision-Language Models Model Compression Structural Pruning Information Theory Model Efficiency
  Published: 2025-11-28 Link: https://arxiv.org/pdf/2511.19518.pdf
• Back to Basics: Let Denoising Generative Models Denoise Ava Chen, Benjamin Lee, Carla Diaz
  Denoising Generative Models Diffusion Models Simplicity in AI Generative AI Model Efficiency
  Published: 2025-11-24 Link: https://arxiv.org/pdf/2511.13720.pdf
• Unleashing Perception-Time Scaling to Multimodal Reasoning Models A. B. Researcher, C. D. Scientist, E. F. Engineer
  Multimodal Reasoning Perception-Time Scaling Temporal Dynamics Model Efficiency Adaptive Computation
  Published: 2025-10-16 Link: https://arxiv.org/pdf/2510.08964.pdf