The Sherrone Moore situation continues to take twists and turns. Now, an alleged text message following his arrest has come to light from the former Michigan Wolverines head football coach. It’s an ...

In this tutorial, we review the state of the art in automatic text summarization, and discuss and critically evaluate current approaches to the problem. The tutorial is structured as follows: The need ...

Summarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing ...

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...

IBM Corp. on Thursday open-sourced Granite 4, a language model series that combines elements of two different neural network architectures. The algorithm family includes four models on launch. They ...

Both GPUs and TPUs play crucial roles in accelerating the training of large transformer models, but their core architectures, performance profiles, and ecosystem compatibility lead to significant ...

Introduction: Text summarization is a longstanding challenge in natural language processing, with recent advancements driven by the adoption of Large Language Models (LLMs) and Small Language Models ...

Abstract: Extracting crucial information from lengthy documents can be a time-consuming and labor-intensive process. Automatic text summarization algorithms address this challenge by condensing ...