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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

Ze-Long Zhao

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2 papers indexed here

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Conference Aug 2026

SafeFlow: Attribution-Driven Adaptive Security Defense for Large Language Model Agents

As large language model (LLM) agents are increasingly deployed in healthcare, finance, education, and other high-risk domains, their multi-turn interactions become more complex. When facing emerging threats such as context poisoning, memory injection, and tool manipulation, conventional binary filtering models struggle...

Shan Gao, Ze-Long Zhao, Shi-You Zhang et al. · 0 citations
Conference Aug 2026

VAIL: Retrieval Authorizes Inspection, Not Use — Governed Memory for Long-Horizon Multi-Agent LLM Systems

As language agents persist and collaborate over long horizons, a stored fact is no longer disposable context: once recalled, it steers tool calls, planning, and cross-agent agreement. We argue that memory reliability breaks down into two distinct failure modes: staleness (the world changed after a fact was stored) and...

Ming Wang, Ke-Yang Han, Ru-Yi Wang et al. · 0 citations

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