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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

Tianyu Li

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2 papers indexed here

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Open access Aug 2026

Carnot: Interpretable, Interactive, and Optimized Execution of Deep Research Queries

Carnot is an interactive execution engine for AI-driven analytics that compiles natural language requests into physical execution graphs and surfaces them through an interactive notebook interface, and Carnot's query optimizer will optimize the query with respect to cost or latency constraints provided by the user.

Matthew Russo, Yash Agarwal, Tianyu Li et al. · 0 citations

Low-Latency Semantic Processing with Optimal Prompt-Level Batching

This paper measures and analytically derive an optimal size for in-prompt document batching to effectively amortize this overhead of LLM calls over public APIs, cutting end-to-end semantic operator latency by up to 14 × with no meaningful accuracy loss.

Jingyi Qu, Samuel Madden, Tianyu Li · 0 citations

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