大模型的参数高效微调(Parameter-Efficient Fine-Tuning)

Parameter-Efficient Fine-Tuning for Large Pretrained Models.

Parameter-Efficient Transfer Learning for NLP

自然语言处理中的参数高效的迁移学习.

Ultralytics YOLOv8

Ultralytics YOLOv8：实时目标检测和图像分割模型的最新版本.

Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

为什么GPT可以上下文学习？语言模型隐式地作为元优化器执行梯度下降.

Refiner: Refining Self-attention for Vision Transformers

Refiner：精炼视觉Transformer中的自注意力机制.

Improve Vision Transformers Training by Suppressing Over-smoothing

通过抑制过度平滑改进视觉Transformer.