Table-based Fact Verification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (26 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.

• Binding Language Models in Symbolic Languages
  6 Oct 2022 4 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  We propose Binder, a training-free neural-symbolic framework that maps the task input to a program, which (1) allows binding a unified API of language model (LM) functionalities to a programming language (e.
• TAPEX: Table Pre-training via Learning a Neural SQL Executor
  16 Jul 2021 4 repositories listed
  TAPEX addresses the data scarcity challenge via guiding the language model to mimic a SQL executor on the diverse, large-scale and high-quality synthetic corpus.
• TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition
  15 Apr 2024 2 repositories listed Syntology ran 7 of 15 samples · 8 unverified · 15 pointer-only (licence)
  Table reasoning is a challenging task that requires understanding both natural language questions and structured tabular data.
• 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.
• Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning
  31 Jan 2023 2 repositories listed
  To alleviate the above challenges, we exploit large language models (LLMs) as decomposers for effective table-based reasoning, which (i) decompose huge evidence (a huge table) into sub-evidence (a small table) to…
• TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning
  18 Sep 2024 1 repository listed
  Current Large Language Models (LLMs) exhibit limited ability to understand table structures and to apply precise numerical reasoning, which is crucial for tasks such as table question answering (TQA) and table-based…
• NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization
  25 Jun 2024 1 repository listed
  In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities in parsing textual data and generating code.
• Are Large Language Models Table-based Fact-Checkers?
  4 Feb 2024 1 repository listed
  Finally, we analyze some possible directions to promote the accuracy of TFV via LLMs, which is beneficial to further research of table reasoning.
• Heuristic Heterogeneous Graph Reasoning Networks for Fact Verification
  13 Jun 2023 1 repository listed
  In this work, we propose heuristic heterogeneous graph reasoning networks (H2GRN) to capture the shared consistent evidence by strengthening associations between linguistic and logical evidence from two perspectives of…
• PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training
  5 Nov 2022 1 repository listed Syntology ran 1 of 6 samples · 5 unverified
  In particular, on the complex set of TabFact, which contains multiple operations, PASTA largely outperforms the previous state of the art by 4.
• ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples
  22 Oct 2022 1 repository listed Syntology ran 0 of 11 samples · 11 unverified
  Reasoning over tabular data requires both table structure understanding and a broad set of table reasoning skills.
• Table-based Fact Verification with Self-adaptive Mixture of Experts
  19 Apr 2022 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  The table-based fact verification task has recently gained widespread attention and yet remains to be a very challenging problem.
• UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
  16 Jan 2022 1 repository listed Syntology ran 1 of 5 samples · 4 unverified
  Structured knowledge grounding (SKG) leverages structured knowledge to complete user requests, such as semantic parsing over databases and question answering over knowledge bases.
• Exploring Decomposition for Table-based Fact Verification
  22 Sep 2021 1 repository listed
  Fact verification based on structured data is challenging as it requires models to understand both natural language and symbolic operations performed over tables.
• Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification
  14 Sep 2021 1 repository listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  Specifically, we first retrieve logic-level program-like evidence from the given table and statement as supplementary evidence for the table.
• Table-based Fact Verification with Salience-aware Learning
  9 Sep 2021 1 repository listed
  From one perspective, our system conducts masked salient token prediction to enhance the model for alignment and reasoning between the table and the statement.
• AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence Finding
  1 Aug 2021 1 repository listed
  This paper describes our approach for Task 9 of SemEval 2021: Statement Verification and Evidence Finding with Tables.
• Understanding tables with intermediate pre-training
  1 Oct 2020 1 repository listed
  To be able to use long examples as input of BERT models, we evaluate table pruning techniques as a pre-processing step to drastically improve the training and prediction efficiency at a moderate drop in accuracy.
• TabFact: A Large-scale Dataset for Table-based Fact Verification
  5 Sep 2019 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 2 pointer-only (licence)
  To this end, we construct a large-scale dataset called TabFact with 16k Wikipedia tables as the evidence for 118k human-annotated natural language statements, which are labeled as either ENTAILED or REFUTED.

Syntology lines on 9 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.