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data extraction

Aggregated news, research, and updates specifically regarding data extraction. Auto-curated by our AI Engine.

business #agent 📝 BlogAnalyzed: Jan 15, 2026 14:02

Box Jumps into Agentic AI: Unveiling Data Extraction for Faster Insights

Published:Jan 15, 2026 14:00

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1 min read

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SiliconANGLE

Analysis

Box's move to integrate third-party AI models for data extraction signals a growing trend of leveraging specialized AI services within enterprise content management. This allows Box to enhance its existing offerings without necessarily building the AI infrastructure in-house, demonstrating a strategic shift towards composable AI solutions.

Key Takeaways

•Box is launching 'Box Extract,' an AI-powered data extraction tool.
•The tool leverages AI models from OpenAI, Google, and Anthropic.
•The focus is on extracting insights from documents like invoices and contracts.

Reference

“The new tool uses third-party AI models from companies including OpenAI Group PBC, Google LLC and Anthropic PBC to extract valuable insights embedded in documents such as invoices and contracts to enhance […]”

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research #llm 🔬 ResearchAnalyzed: Jan 15, 2026 07:09

Local LLMs Enhance Endometriosis Diagnosis: A Collaborative Approach

Published:Jan 15, 2026 05:00

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1 min read

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ArXiv HCI

Analysis

This research highlights the practical application of local LLMs in healthcare, specifically for structured data extraction from medical reports. The finding emphasizing the synergy between LLMs and human expertise underscores the importance of human-in-the-loop systems for complex clinical tasks, pushing for a future where AI augments, rather than replaces, medical professionals.

Key Takeaways

•A 20B-parameter LLM achieved 86.02% accuracy in extracting data from eTVUS reports, outperforming smaller models.
•The LLM excelled at syntactic consistency, while human experts excelled at semantic interpretation.
•The study advocates for a human-in-the-loop workflow, using LLMs as collaborative tools to aid specialists.

Reference

“These findings strongly support a human-in-the-loop (HITL) workflow in which the on-premise LLM serves as a collaborative tool, not a full replacement.”

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Research #Table Recognition 🔬 ResearchAnalyzed: Jan 10, 2026 07:41

Hierarchical Modeling for Accelerated Table Recognition

Published:Dec 24, 2025 09:58

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1 min read

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ArXiv

Analysis

The article's potential impact stems from improvements to table recognition, a critical component of document understanding and data extraction. The use of a hierarchical modeling approach suggests a novel and potentially more efficient solution compared to existing methods.

Key Takeaways

•Focuses on table recognition, crucial for information extraction.
•Employs a hierarchical modeling approach, hinting at potential performance gains.
•Published on ArXiv, suggesting early-stage research.

Reference

“The context provides the source as ArXiv.”

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Research #Agent 🔬 ResearchAnalyzed: Jan 10, 2026 08:25

HARMON-E: AI Extracts Structured Data from Oncology Notes

Published:Dec 22, 2025 20:38

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1 min read

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ArXiv

Analysis

This research paper introduces HARMON-E, a novel approach using hierarchical agentic reasoning for extracting structured data from unstructured oncology notes. The focus on multimodal data processing indicates a potential for robust and comprehensive data extraction in a complex domain.

Key Takeaways

•HARMON-E aims to structure data from multimodal oncology notes.
•The method utilizes hierarchical agentic reasoning.
•The research is published on ArXiv indicating ongoing development.

Reference

“HARMON-E leverages hierarchical agentic reasoning.”

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Research #LLM 🔬 ResearchAnalyzed: Jan 10, 2026 14:27

LLMs for Enhanced Data Extraction and Management in 2D Materials Research

Published:Nov 22, 2025 04:09

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1 min read

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ArXiv

Analysis

This research explores the application of Large Language Models (LLMs) to improve data handling in the field of 2D materials. It suggests a move toward more efficient and intelligent methods for managing scientific literature related to these materials.

Key Takeaways

•LLMs are used to extract information from scientific literature on 2D materials.
•The research aims to improve data querying and management efficiency.
•This could lead to faster discovery and analysis in materials science.

Reference

“The research focuses on the use of LLMs for extracting, querying, and managing data from literature on 2D materials.”

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Research #Data Extraction 🔬 ResearchAnalyzed: Jan 10, 2026 14:39

Improving Data Extraction from Distorted Documents

Published:Nov 18, 2025 07:54

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1 min read

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ArXiv

Analysis

This ArXiv paper likely explores advancements in AI's ability to extract structured data from documents that are not perfectly formatted or aligned, such as those with perspective distortion. Understanding this is crucial for applications that rely on scanning and interpreting real-world documents, like receipts or invoices.

Key Takeaways

•Focuses on structured data extraction.
•Addresses perspective distortion in documents.
•Potentially relevant for applications like document scanning.

Reference

“The research focuses on the robustness of structured data extraction.”

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Product #LLM Plugin 👥 CommunityAnalyzed: Jan 10, 2026 15:10

LLM Plugin Extracts Hacker News Content

Published:Apr 8, 2025 10:32

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1 min read

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Hacker News

Analysis

The article introduces an LLM plugin designed to access and retrieve data from Hacker News. This highlights the growing trend of integrating LLMs with external data sources for information retrieval and analysis.

Key Takeaways

•The development of LLM plugins expands the capabilities of language models.
•This specific plugin provides access to real-time Hacker News content.
•It demonstrates the potential for LLMs to interact with and extract information from specific online communities.

Reference

“The plugin functionality allows for direct data access from Hacker News.”

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Product #InvoiceAI 👥 CommunityAnalyzed: Jan 10, 2026 16:40

InvoiceNet: AI Revolutionizes Invoice Data Extraction

Published:Aug 11, 2020 08:51

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1 min read

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Hacker News

Analysis

The article's premise is significant as automating invoice processing can save businesses significant time and resources. However, without more context from the Hacker News post about the methodology and performance, the actual impact is hard to assess.

Key Takeaways

•InvoiceNet utilizes a neural network for automated invoice data extraction.
•The technology aims to streamline financial processes and reduce manual data entry.
•Further investigation into the model's accuracy and deployment is needed.

Reference

“InvoiceNet is a neural network designed for invoice data extraction.”

Permalink Hacker News

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data extraction

Box Jumps into Agentic AI: Unveiling Data Extraction for Faster Insights

Analysis

Key Takeaways

Local LLMs Enhance Endometriosis Diagnosis: A Collaborative Approach

Analysis

Key Takeaways

Hierarchical Modeling for Accelerated Table Recognition

Analysis

Key Takeaways

HARMON-E: AI Extracts Structured Data from Oncology Notes

Analysis

Key Takeaways

LLMs for Enhanced Data Extraction and Management in 2D Materials Research

Analysis

Key Takeaways

Improving Data Extraction from Distorted Documents

Analysis

Key Takeaways

LLM Plugin Extracts Hacker News Content

Analysis

Key Takeaways

InvoiceNet: AI Revolutionizes Invoice Data Extraction

Analysis

Key Takeaways

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Trending Topics

Box Jumps into Agentic AI: Unveiling Data Extraction for Faster Insights

Analysis

Key Takeaways

Local LLMs Enhance Endometriosis Diagnosis: A Collaborative Approach

Analysis

Key Takeaways

Hierarchical Modeling for Accelerated Table Recognition

Analysis

Key Takeaways

HARMON-E: AI Extracts Structured Data from Oncology Notes

Analysis

Key Takeaways

LLMs for Enhanced Data Extraction and Management in 2D Materials Research

Analysis

Key Takeaways

Improving Data Extraction from Distorted Documents

Analysis

Key Takeaways

LLM Plugin Extracts Hacker News Content

Analysis

Key Takeaways

InvoiceNet: AI Revolutionizes Invoice Data Extraction

Analysis

Key Takeaways

📬 Get AI News Delivered

Browse by Category

Trending Topics