Towards Data Science
Jul 1
Build and Run Your Own AI Agent in the Cloud
Build and deploy an agent on AWS with Strands and AgentCore The post Build and Run Your Own AI Agent in the Cloud appeared first on Towards Data Science .
Build and Run an Intelligent Document Processing (IDP) System in the Cloud
Automating the classification and extraction of PII from emails using AWS The post Build and Run an Intelligent Document Processing (IDP) System in the Cloud appeared first on Towards Data Science .
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AWED-PIPER: Agents, Web Applications & Expert Detectors for Personally Identifiable Information Protection & Fine-grained Named Entity Recognition across 36 languages for 6.6 Billion Speakers
arXiv:2601. 10161v3 Announce Type: replace-cross Abstract: Named Entity Recognition (NER) and Personally Identifiable Information (PII) anonymization are critical tasks in Natural Language Processing (NLP) for information extraction and privacy preservation.
OpenAI Blog
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Introducing OpenAI Privacy Filter
OpenAI Privacy Filter is an open-weight model for detecting and redacting personally identifiable information (PII) in text with state-of-the-art accuracy
Towards Data Science
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Parse PDFs for RAG Locally with Docling: Rich Tables, No Cloud Upload
Enterprise Document Intelligence [Vol. 1 #5ter] - Table cells, OCR, captions, headings: cloud-grade structure, running on your own machine.
arXiv AI
Aug 3
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction
arXiv:2607. 29677v1 Announce Type: new Abstract: Enterprise workflows increasingly rely on agents for \emph{schema-guided extraction}: given a document and a user-defined schema, the agent faithfully follows the schema to produce the correct output with source evidence as grounding metadata.
arXiv AI
Jul 31
IDP AutoOpt: Agent-Driven Optimization of Document Processing Pipeline Configurations
arXiv:2607. 26075v1 Announce Type: cross Abstract: We present IDP AutoOpt, an autonomous LLM agent that discovers high-performing configurations for intelligent document processing (IDP) pipelines.
arXiv AI
Jun 30
AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research
arXiv:2512. 16455v4 Announce Type: replace-cross Abstract: The rapid growth of Artificial Intelligence and Machine Learning in scientific research has highlighted a gap between industry-standard MLOps tools and platforms, and the unique requirements of modern and Open Science, particularly regarding the FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
arXiv AI
Jun 15
A Multi-Agent AI System for Automated High School Transcript Processing: Collaborative Document Analysis at Scale
arXiv:2606. 13916v1 Announce Type: new Abstract: Each year, college admissions offices face an overwhelming challenge: processing millions of high school transcripts, each with unique formats, grading systems, and layouts.
arXiv AI
Jul 10
Accurate Portraits of Scientific Resources and Knowledge Service Components
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Hugging Face Trending Papers
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Structured Data Extraction from Real Estate Documents using Clustering, Classification, and Large Language Models
Real estate property listings expose structured metadata through the API. Still, the richest property-level information (i.
arXiv AI
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GUIDE: Governed Unified Intelligence for Document-to-Artifact Generation in Enterprise Settings
arXiv:2608. 12133v1 Announce Type: new Abstract: Enterprise guideline documents are heterogeneous and multimodal, combining narrative text, complex tables, and embedded images.
arXiv AI
Jun 2
HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filings
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