AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework

Summary: AutoPrep: an LLM multi-agent framework for question-aware table prep in TQA, decomposing tasks (column derivation/filtering, value normalization) across Planner/Programmer/Executor agents. Uses Chain-of-Clauses reasoning and tool-augmented codegen to produce executable plans, improving SOTA on real TQA benchmarks. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13978
Venue: VLDB
Year: 2025
Pagerank: 4.1945683e-05
Overall Rank: 10,682 | 25.69%
DOI: 10.14778/3748191.3748211

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,249	TACO: A Benchmark for Open-Domain Text-to-SQL with Ambiguous and Cross-Database Queries	2026	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
921	Democratizing Data Science through Interactive Curation of ML Pipelines	2019	SIGMOD	0.00015337438
1,872	ReAcTable: Enhancing ReAct for Table Question Answering	2024	VLDB	0.00010259702
1,993	Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning	2020	SIGMOD	9.8453334e-05
4,739	AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models	2024	VLDB	5.959592e-05
5,275	Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples	2023	VLDB	5.5905507e-05
5,981	DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python	2021	SIGMOD	5.2448986e-05
6,569	Domain Adaptation for Deep Entity Resolution	2022	SIGMOD	5.0065379e-05
8,828	HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation	2023	SIGMOD	4.4407488e-05
11,347	OpenTFV: An Open Domain Table-Based Fact Verification System	2022	SIGMOD	4.1945683e-05

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