most citedFrom Words to Code: Harnessing Data for Program Synthesis from Natural Language

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cs.DB20241 cited

Evaluating Datalog over Semirings: A Grounding-based Approach

Hangdong Zhao, Shaleen Deep, Paraschos Koutris +2

Datalog is a powerful yet elegant language that allows expressing recursive computation. Although Datalog evaluation has been extensively studied in the literature, so far, only lo…

cs.DB20232 cited

ReAcTable: Enhancing ReAct for Table Question Answering

Yunjia Zhang, Jordan Henkel, Avrilia Floratou +3

Table Question Answering (TQA) presents a substantial challenge at the intersection of natural language processing and data analytics. This task involves answering natural language…

cs.DB2023

Rapidash: Efficient Constraint Discovery via Rapid Verification

Zifan Liu, Shaleen Deep, Anna Fariha +3

Denial Constraint (DC) is a well-established formalism that captures a wide range of integrity constraints commonly encountered, including candidate keys, functional dependencies,…

cs.DB20236 cited

From Words to Code: Harnessing Data for Program Synthesis from Natural Language

Anirudh Khatry, Joyce Cahoon, Jordan Henkel +9

Creating programs to correctly manipulate data is a difficult task, as the underlying programming languages and APIs can be challenging to learn for many users who are not skilled…

cs.DB20236 cited

Space-Time Tradeoffs for Conjunctive Queries with Access Patterns

Hangdong Zhao, Shaleen Deep, Paraschos Koutris

In this paper, we investigate space-time tradeoffs for answering conjunctive queries with access patterns (CQAPs). The goal is to create a space-efficient data structure in an init…