LSTM-Based Encoder-Decoder Text Summarizer Built from Scratch This project is a text summarization tool built entirely from scratch using an LSTM-based encoder-decoder architecture.

This paper investigates the ability of deep neural networks (DNNs) to predict a specific room impulse response (RIR) between two given room locations. We use three end-to-end deep learning (DL) models ...

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures in machine translation tasks.

Efficient encoder-decoder architecture for small language models (≤1B parameters) with cross-architecture knowledge distillation and vision-language capabilities - microsoft/encoder-decoder-slm ...

We focus on incorporating entity knowledge into an encoder-decoder framework for informative text generation. Existing approaches tried to index, retrieve, and read external documents as evidence, but ...

December 20, 2023 - Global IP Core Sales - The Reed Solomon Encoder is fed with an input message of K information symbols, the Encoder appends 2T parity symbols to the input message in order to form ...