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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

Author

Jun-Feng Fang

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2 papers indexed here

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Review Sep 2026

From Adoption to Trust in AI-Assisted Environmental Evidence Synthesis: A Systematic Review of Capabilities, Reliability Boundaries, and Real-World Applications

Environmental evidence synthesis (EES) transforms diverse environmental evidence into trustworthy and decision-relevant knowledge for environmental governance and policymaking. Yet, the accelerating growth and heterogeneity of environmental literature are increasingly exceeding the capacity of conventional manual wor...

Hao-Yue Tan, Ming-Jie Bin, Jun-Feng Fang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models

The proposed FLY-EVAL++ is an evidence-driven evaluation protocol that combines deterministic verification of protocol compliance, physical feasibility, and safety constraints with fixed rubric-guided aggregation into interpretable multi-dimensional scores.

Ya-Lun Wu, Jun-Feng Fang, Jia-Wei Wang et al. · 0 citations

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