The transformer consists of a encoder (encoder ... efficient LLMs are based on the transformer architecture, with some researchers experimenting and testing with other architectures, such as Recurrent ...

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 ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

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 ...

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 ...

WAP Binary XML (WBXML) is a binary representation of XML. WBXML is used as a compact transmission format for mobile clients, which typically have little memory and bandwidth. The specification for ...