Table-based Question Answering

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Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (16 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
  9 Jan 2024 2 repositories listed Syntology ran 6 of 8 samples · 2 unverified
  We propose the Chain-of-Table framework, where tabular data is explicitly used in the reasoning chain as a proxy for intermediate thoughts.
• SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA
  25 Sep 2024 1 repository listed
  Text-to-SQL parsing and end-to-end question answering (E2E TQA) are two main approaches for Table-based Question Answering task.
• OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering
  8 Jul 2022 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  The information in tables can be an important complement to text, making table-based question answering (QA) systems of great value.
• Table Retrieval May Not Necessitate Table-specific Model Design
  19 May 2022 1 repository listed Syntology ran 7 of 12 samples · 5 unverified
  In this work, we focus on the task of table retrieval, and ask: "is table-specific model design necessary for table retrieval, or can a simpler text-based model be effectively used to achieve a similar result?"

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.