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Accelerating materials discovery using artificial intelligence, high performance computing and robotics
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 …
discovery, traditional manual, serial, and human-intensive work is being augmented by …
Doclaynet: A large human-annotated dataset for document-layout segmentation
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 …
conversion. With the recent availability of public, large ground-truth datasets such as …
Tableformer: Table structure understanding with transformers
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 …
extremely valuable for systems such as search engines, Knowledge Graph's, etc, since they …
[HTML][HTML] PDF malware detection based on optimizable decision trees
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 …
has incentivized hackers to develop methods to use these normally innocent PDF files to …
An overview on the role of artificial intelligence in modern advancements of material science
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 …
decades, and the subjects of material science and engineering are no exception. This …
Skin tone analysis for representation in educational materials (star-ed) using machine learning
Images depicting dark skin tones are significantly underrepresented in the educational
materials used to teach primary care physicians and dermatologists to recognize skin …
materials used to teach primary care physicians and dermatologists to recognize skin …
VILA: Improving structured content extraction from scientific PDFs using visual layout groups
Accurately extracting structured content from PDFs is a critical first step for NLP over
scientific papers. Recent work has improved extraction accuracy by incorporating …
scientific papers. Recent work has improved extraction accuracy by incorporating …
Optimized table tokenization for table structure recognition
Extracting tables from documents is a crucial task in any document conversion pipeline.
Recently, transformer-based models have demonstrated that table-structure can be …
Recently, transformer-based models have demonstrated that table-structure can be …
A benchmark of pdf information extraction tools using a multi-task and multi-domain evaluation framework for academic documents
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 …
retrieval, and analysis use cases. Choosing the best tool to extract specific content elements …
Feta: Towards specializing foundational models for expert task applications
Abstract Foundational Models (FMs) have demonstrated unprecedented capabilities
including zero-shot learning, high fidelity data synthesis, and out of domain generalization …
including zero-shot learning, high fidelity data synthesis, and out of domain generalization …