New tools enable new ways of working, and materials science is no exception. In materials
discovery, traditional manual, serial, and human-intensive work is being augmented by …

Accurate document layout analysis is a key requirement for high-quality PDF document
conversion. With the recent availability of public, large ground-truth datasets such as …

Tables organize valuable content in a concise and compact representation. This content is
extremely valuable for systems such as search engines, Knowledge Graph's, etc, since they …

Images depicting dark skin tones are significantly underrepresented in the educational
materials used to teach primary care physicians and dermatologists to recognize skin …

Portable document format (PDF) files are one of the most universally used file types. This
has incentivized hackers to develop methods to use these normally innocent PDF files to …

Artificial intelligence (AI) has become a disruptive force in many industries over the past few
decades, and the subjects of material science and engineering are no exception. This …

Accurately extracting structured content from PDFs is a critical first step for NLP over
scientific papers. Recent work has improved extraction accuracy by incorporating …

Abstract Foundational Models (FMs) have demonstrated unprecedented capabilities
including zero-shot learning, high fidelity data synthesis, and out of domain generalization …

Extracting information from academic PDF documents is crucial for numerous indexing,
retrieval, and analysis use cases. Choosing the best tool to extract specific content elements …

Transforming documents into machine-processable representations is a challenging task
due to their complex structures and variability in formats. Recovering the layout structure and …