163 citations · 464 across the 29 of their papers we have counts for
9 papers · 1 filter
100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models
Yeounoh Chung, Rushabh Desai, Jian He +9
Several data warehouse and database providers have recently introduced extensions to SQL called AI Queries, enabling users to specify functions and conditions in SQL that are evalu…
An Agentic Approach to Metadata Reasoning
Jiani Zhang, Sercan O. Arik, Cosmin Arad +2
As autonomous LLM agents evolve to perform complex analytical tasks that require integrating multiple datasets, the problem of discovering relevant data sources becomes a key bottl…
The Cambridge Report on Database Research
Anastasia Ailamaki, Samuel Madden, Daniel Abadi +43
On October 19 and 20, 2023, the authors of this report convened in Cambridge, MA, to discuss the state of the database research field, its recent accomplishments and ongoing challe…
CoddLLM: Empowering Large Language Models for Data Analytics
Jiani Zhang, Hengrui Zhang, Rishav Chakravarti +6
Large Language Models (LLMs) have the potential to revolutionize data analytics by simplifying tasks such as data discovery and SQL query synthesis through natural language interac…
Voyageur: An Experiential Travel Search Engine
Sara Evensen, Aaron Feng, Alon Halevy +10
We describe Voyageur, which is an application of experiential search to the domain of travel. Unlike traditional search engines for online services, experiential search focuses on…
Subjective Databases
Yuliang Li, Aaron Xixuan Feng, Jinfeng Li +4
Online users are constantly seeking experiences, such as a hotel with clean rooms and a lively bar, or a restaurant for a romantic rendezvous. However, e-commerce search engines on…
Scalable Semantic Querying of Text
Xiaolan Wang, Aaron Feng, Behzad Golshan +4
We present the KOKO system that takes declarative information extraction to a new level by incorporating advances in natural language processing techniques in its extraction langua…
Harnessing the Deep Web: Present and Future
Jayant Madhavan, Loredana Afanasiev, Lyublena Antova +1
Over the past few years, we have built a system that has exposed large volumes of Deep-Web content to Google.com users. The content that our system exposes contributes to more than…
The Lowell Database Research Self Assessment
Serge Abiteboul, Rakesh Agrawal, Phil Bernstein +26
A group of senior database researchers gathers every few years to assess the state of database research and to point out problem areas that deserve additional focus. This report su…