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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Yuanjun Zhang

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Conference Open access Aug 2026

Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A ReliefWeb-based Study

A ReliefWeb study (2000-2024) and a two-stage Large Language Model (LLM) pipeline that extracts structured intervention-outcome records with direction and strength attributes and proposes context-preserving triangulation that aggregates strength-weighted evidence within disaster cells.

Yuanjun Zhang, Mourad Oussalah · 0 citations

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