Author

Tianyu Li

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Preprint Aug 2026

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

Enterprises increasingly seek to query data lakes using natural language via AI-driven tools like semantic operators or deep research agents. However, the latter operates as an opaque black box, hiding its intermediate reasoning and data retrieval steps, and failing to expose controls for managing API costs and executi...

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