Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...

In today’s digital systems, vast volumes of information are produced daily. However, simply collecting large amounts of data is not enough. That data must be reliable and well-structured to serve any ...

Patients with chronic diseases may have files that include dozens of clinical records that providers may not have time to ...

This article analyzed the impact of training data containing un-annotated text instances, i.e., partial annotation in scene text detection, and proposed a text region refinement approach to address it ...

Data-to-text Generation (D2T) aims to generate textual natural language statements that can fluently and precisely describe the structured data such as graphs, tables, and meaning representations (MRs ...