In this paper, a novel Multimodal Encoder-Decoder Attention Networks (MEDAN) is proposed. The MEDAN consists of Multimodal Encoder-Decoder Attention (MEDA) layers cascaded in depth, and can capture ...

This paper presents a universal BCH encoder and decoder that can support multiple error-correction capabilities. A novel encoding architecture and on-demand syn ...

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