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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

Yan Zheng

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2 papers indexed here

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Book Open access Aug 2026

PACE: Unleashing the Power of Code Embeddings to Boost AutoML Agents

PACE (Pre-execution Admission via Code Embeddings), an online-adaptive admission control framework that improves budgeted sample efficiency by estimating candidate utility prior to execution from within-run execution history, without training a separate offline predictor.

Gangyi Zhao, He-Bin Liang, Hongyao Tang et al. · 0 citations
Book Open access Aug 2026

PACE: Unleashing the Power of Code Embeddings to Boost AutoML Agents

Large Language Model (LLM)-driven AutoML agents have shown strong capabilities in constructing end-to-end machine learning pipelines. However, their effectiveness is limited by costly execution-based feedback, which can make the search for high-quality solutions inefficient under restricted computational budgets. We pr...

Gangyi Zhao, Hebin Liang, Hongyao Tang et al. · 0 citations

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