mlsanityData to 7 Oct 2026

TableReasoner: Advancing Table Reasoning Framework with Large Language Models

arXiv 2507.08046 ↗First posted 10 Jul 2025cs.AIcited by 2

On the map: LLM reasoning → Knowledge- and tool-augmented reasoning

Abstract (arXiv)

The paper presents our system developed for table question answering (TQA). TQA tasks face challenges due to the characteristics of real-world tabular data, such as large size, incomplete column semantics, and entity ambiguity. To address these issues, we propose a large language model (LLM)-powered and programming-based table reasoning framework, named TableReasoner. It models a table using the schema that combines structural and semantic representations, enabling holistic understanding and efficient processing of large tables. We design a multi-step schema linking plan to derive a focused table schema that retains only query-relevant information, eliminating ambiguity and alleviating hallucinations. This focused table schema provides precise and sufficient table details for query refinement and programming. Furthermore, we integrate the reasoning workflow into an iterative thinking architecture, allowing incremental cycles of thinking, reasoning and reflection. Our system achieves first place in both subtasks of SemEval-2025 Task 8.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Placed in Knowledge- and tool-augmented reasoning, one of 17 directions in LLM reasoning. Builds on 13 of its 32 references that are in the map. First posted on arXiv 10 Jul 2025.

Builds on

13 of 32 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables5 Dec

Other references · 12

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2024The Llama 3 Herd of Modelscited by 14,192
  3. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  4. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  5. 2024Qwen2.5 Technical Reportcited by 4,713
  6. 2024Qwen2.5-Coder Technical Reportcited by 1,151
  7. 2023Scaling Relationship on Learning Mathematical Reasoning with Large Language Modelscited by 417
  8. 2023TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPTcited by 57
  9. 2024StructLM: Towards Building Generalist Models for Structured Knowledge Groundingcited by 29
  10. 2024Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolutioncited by 19
  11. 2024TeleChat Technical Reportcited by 15
  12. 2024Tele-FLM Technical Reportcited by 12

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extractioncited by 6
  2. 2026SciTaRC: A Plan-Annotated Scientific Tabular QA Benchmark for Language Reasoning and Complex Computationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024A Survey of Table Reasoning with Large Language Models
  2. 2024TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning
  3. 2025Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance
  4. 2024TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition
  5. 2025TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering
  6. 2024Seek and Solve Reasoning for Table Question Answering
  7. 2025What to Keep and What to Drop: Adaptive Table Filtering Framework
  8. 2024Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding