resulting in improved image quality without significant changes to the underlying encoder-decoder architecture. Despite these technological strides, WHAMM is far from perfect and remains more of a ...

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 ...

While the performance of LLMs is making headlines, encoder models remain fundamental building blocks of NLP and are among the most downloaded ... It closely follows the architecture of Llama 3 and has ...

Unlike the commonly used UNet-based diffusion models, Diffusion Transformers apply the transformer architecture ... the model into a dedicated condition encoder for semantic extraction and a velocity ...

FoNu_NLP_TG ("Fo Nu" means "speak" in Ewe ... with a special emphasis on applications for Togolese languages. Encoder: N layers (usually 6) with self-attention and feed-forward networks. Decoder: N ...