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#missing-persons News & Analysis

2 articles tagged with #missing-persons. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv โ€“ CS AI ยท Mar 117/10
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A Consensus-Driven Multi-LLM Pipeline for Missing-Person Investigations

Researchers have developed Guardian, an AI system using multiple large language models (LLMs) to assist in missing-person investigations during the critical first 72 hours. The system employs a consensus-driven pipeline that coordinates specialized LLM models for information extraction and processing, with fine-tuning using QLoRA methodology.

AINeutralarXiv โ€“ CS AI ยท Apr 106/10
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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.