Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics
Summary: Runtime fusing optimized semantic-operator execution with flexible Deep Research agents, enabling synthesis and execution of optimized semantic-operator programs. Prototype outperforms hand-crafted operators and open Deep Research agents—up to 1.95× F1 and up to 76.8% cost / 72.7% runtime savings. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Matthew Russo (Massachusetts Institute of Technology)
- 2. Tim Kraska (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{russo_cidr26,
address = {Amsterdam, Netherlands},
series = {{CIDR} '26},
title = {{Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Russo, Matthew and Kraska, Tim},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next