Google has launched T5Gemma, a new collection of encoder-decoder large language models (LLMs) that promise improved quality ...

Accurate traffic flow prediction is becoming increasingly important for transportation planning, control, management, and information services of successful. Numerous existing models focus on ...

In this paper, a high-efficiency encoder-decoder structure, inspired by the top-down attention mechanism in human brain perception and named human-like perception attention network (HPANet), is ...

This comprehensive guide delves into decoder-based Large Language Models (LLMs), exploring their architecture, innovations, and applications in natural language processing. Highlighting the evolution ...

The encoder processes the input data to form a context, which the decoder then uses to produce the output. This architecture is common in both RNN-based and transformer-based models.

To address the above problems, this paper develops a segmentation method based on encoder-decoder architecture of strip pooling and atrous spatial pyramid pooling module (ASPP) to realize the ...