#llm-extraction News & Analysis

3 articles tagged with #llm-extraction. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Jun 56/10

🧠

Measuring the sensitivity of LLM-based structured extraction to prompt, model, and schema choices in clinical discharge summaries

Researchers evaluated how large language models performing structured data extraction from clinical notes respond to variations in prompts, model sizes, and data schemas. The study found that schema design—particularly the distinction between absent versus undocumented information—drives disagreement more than prompt phrasing, while model choice significantly impacts multi-class categorization tasks.

AINeutralarXiv – CS AI · Jun 45/10

🧠

A Normative Intermediate Representation for ASP-Based Compliance Reasoning

Researchers propose MONIR, a normative intermediate representation framework for automated compliance reasoning using Answer Set Programming (ASP). The system combines staged operational semantics with executable ASP compilation to evaluate regulatory adherence, demonstrated through application to Chinese ADAS (Advanced Driver Assistance Systems) regulations with LLM-assisted extraction pipelines.

AINeutralarXiv – CS AI · Apr 106/10

🧠

LLM-based Schema-Guided Extraction and Validation of Missing-Person Intelligence from Heterogeneous Data Sources

Researchers introduce Guardian Parser Pack, an AI-driven system that extracts and normalizes missing-person intelligence from heterogeneous documents using LLM-assisted parsing combined with schema validation. The system achieved 86.64% F1 score on manual evaluation while improving data completeness to 96.97%, demonstrating practical viability of probabilistic AI in high-stakes investigative workflows.