Table-to-Text Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 43 papers with code (68 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.

• Prefix-Tuning: Optimizing Continuous Prompts for Generation
  1 Jan 2021 13 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  Fine-tuning is the de facto way to leverage large pretrained language models to perform downstream tasks.
• What Makes Good In-Context Examples for GPT-$3$?
  17 Jan 2021 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Inspired by the recent success of leveraging a retrieval module to augment large-scale neural network models, we propose to retrieve examples that are semantically-similar to a test sample to formulate its corresponding…
• Table-to-text Generation by Structure-aware Seq2seq Learning
  27 Nov 2017 3 repositories listed
  In the decoding phase, dual attention mechanism which contains word level attention and field level attention is proposed to model the semantic relevance between the generated description and the table.
• Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios
  24 May 2023 2 repositories listed
  These include the LogicNLG and our newly-constructed LoTNLG datasets for data insight generation, along with the FeTaQA and our newly-constructed F2WTQ datasets for query-based generation.
• QTSumm: Query-Focused Summarization over Tabular Data
  23 May 2023 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Motivated by this, we define a new query-focused table summarization task, where text generation models have to perform human-like reasoning and analysis over the given table to generate a tailored summary.
• Arithmetic-Based Pretraining -- Improving Numeracy of Pretrained Language Models
  13 May 2022 2 repositories listed Syntology ran 2 of 16 samples · 14 unverified
  In this paper, we propose a new extended pretraining approach called Arithmetic-Based Pretraining that jointly addresses both in one extended pretraining step without requiring architectural changes or pretraining from…
• Neural Text Generation from Structured Data with Application to the Biography Domain
  24 Mar 2016 2 repositories listed
  This paper introduces a neural model for concept-to-text generation that scales to large, rich domains.
• PixT3: Pixel-based Table-To-Text Generation
  16 Nov 2023 1 repository listed
  Table-to-text generation involves generating appropriate textual descriptions given structured tabular data.
• Automatic Logical Forms improve fidelity in Table-to-Text generation
  26 Oct 2023 1 repository listed
  Table-to-text systems generate natural language statements from structured data like tables.
• FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation
  25 Oct 2023 1 repository listed
  In addition, FactSpotter can be used as a plug-in feature to improve the factual faithfulness of existing models.
• Effective Distillation of Table-based Reasoning Ability from LLMs
  22 Sep 2023 1 repository listed
  Large Language Models (LLMs) have demonstrated remarkable performance across a wide range of natural language processing tasks.
• Tackling Hallucinations in Neural Chart Summarization
  1 Aug 2023 1 repository listed
  Hallucinations in text generation occur when the system produces text that is not grounded in the input.
• TabGenie: A Toolkit for Table-to-Text Generation
  27 Feb 2023 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  We present TabGenie - a toolkit which enables researchers to explore, preprocess, and analyze a variety of data-to-text generation datasets through the unified framework of table-to-text generation.
• Adapting Knowledge for Few-shot Table-to-Text Generation
  24 Feb 2023 1 repository listed
  Pretrained language models (PLMs) have made remarkable progress in table-to-text generation tasks.
• Improving User Controlled Table-To-Text Generation Robustness
  20 Feb 2023 1 repository listed
  In this work we study user controlled table-to-text generation where users explore the content in a table by selecting cells and reading a natural language description thereof automatically produce by a natural language…
• Plan-then-Seam: Towards Efficient Table-to-Text Generation
  10 Feb 2023 1 repository listed
  Table-to-text generation aims at automatically generating text to help people conveniently obtain salient information in tables.
• LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control
  6 Feb 2023 1 repository listed Syntology ran 1 of 13 samples · 12 unverified
  Logical Table-to-Text (LT2T) generation is tasked with generating logically faithful sentences from tables.
• Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach
  5 Jan 2023 1 repository listed
  Although remarkable progress on the neural table-to-text methods has been made, the generalization issues hinder the applicability of these models due to the limited source tables.
• 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.
• PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
  25 May 2022 1 repository listed
  However, directly learning the logical inference knowledge from table-text pairs is very difficult for neural models because of the ambiguity of natural language and the scarcity of parallel data.
• Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
  8 May 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  This prunes the full self-attention structure into an order-invariant graph attention that captures the connected graph structure of cells belonging to the same row or column, and it differentiates between relevant…
• What Makes Good In-Context Examples for GPT-3?
  1 May 2022 1 repository listed
  In this work, we investigate whether there are more effective strategies for judiciously selecting in-context examples (relative to random sampling) that better leverage GPT-3’s in-context learning capabilities.
• Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots
  1 Mar 2022 1 repository listed
  Few-shot table-to-text generation is a task of composing fluent and faithful sentences to convey table content using limited data.
• NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics
  16 Dec 2021 1 repository listed
  To enable constrained generation, we build on NeuroLogic decoding (Lu et al., 2021), combining its flexibility in incorporating logical constraints with A*esque estimates of future constraint satisfaction.
• Few-Shot Table-to-Text Generation with Prototype Memory
  27 Aug 2021 1 repository listed
  Neural table-to-text generation models have achieved remarkable progress on an array of tasks.
• How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?
  1 Aug 2021 1 repository listed
  Many approaches to this problem use Reinforcement Learning (RL), which maximizes a single manually defined reward, such as BLEU.
• Towards Table-to-Text Generation with Numerical Reasoning
  1 Aug 2021 1 repository listed
  In summary, our contributions are (1) a new dataset for numerical table-to-text generation using pairs of a table and a paragraph of a table description with richer inference from scientific papers, and (2) a…
• Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation
  1 Aug 2021 1 repository listed
  However, it is hard for a vanilla encoder to capture these.
• Text-in-Context: Token-Level Error Detection for Table-to-Text Generation
  1 Aug 2021 1 repository listed
  Our system can detect the errors automatically using a combination of a rule-based natural language generation (NLG) system and pretrained language models (LMs).
• Controlling Text Edition by Changing Answers of Specific Questions
  23 May 2021 1 repository listed
  Experimental results on the test set show that our proposed method is a good fit for this novel NLP task.

Syntology lines on 8 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.