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AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models

Summary: AutoTQA: multi-agent LLM framework for multi-table tabular QA across heterogeneous systems, decomposing queries into Planner→Engineer→Executor with Critic/User agents and agent-scheduling. Provides LinguFlow low-code builder and connectors; outperforms prior single-table TQA on four datasets. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13594
Venue
VLDB
Year
2024
Pagerank
5.959592e-05
Overall Rank
4,739 | 67.04%
DOI
10.14778/3685800.3685816

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