most citedVisual Template Inference for Data Extraction from Documents

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DB20261 cited

Visual Template Inference for Data Extraction from Documents

Yiming Lin, Mawil Hasan, Rohan Kosalge +2

Many templatized documents are programmatically generated from structured data following a visual template. Such documents include invoices, tax documents, financial reports, and p…

cs.DB2026

An Extensible and Verifiable Language for Query Rewrite Rules

Sicheng Pan, Shuxian Wang, Wesley Zheng +3

Logical query plan rewriting transforms a relational database query into an equivalent but more efficient form and is crucial to the performance of database-backed applications. In…

cs.DB2026

PLOP: Cost-Based Placement of Semantic Operators in Hybrid Query Plans

Qiuyang Mang, Yufan Xiang, Hangrui Zhou +5

Recent database systems have introduced semantic operators that leverage large language models (LLMs) to filter, join, and project over structured data using natural language predi…

cs.DB2026

Arming Data Agents with Tribal Knowledge

Shubham Agarwal, Asim Biswal, Sepanta Zeighami +3

Natural language to SQL (NL2SQL) translation enables non-expert users to query relational databases through natural language. Recently, NL2SQL agents, powered by the reasoning capa…

cs.AI2025

Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First

Shu Liu, Soujanya Ponnapalli, Shreya Shankar +12

Large Language Model (LLM) agents, acting on their users' behalf to manipulate and analyze data, are likely to become the dominant workload for data systems in the future. When wor…