mlsanityData to 7 Oct 2026

TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

arXiv 2403.19318 ↗First posted 28 Mar 2024cs.CLcited by 76

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Cited by 21 in LLM reasoning, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We introduce TableLLM, a robust large language model (LLM) with 8 billion parameters, purpose-built for proficiently handling tabular data manipulation tasks, whether they are embedded within documents or spreadsheets, catering to real-world office scenarios. We propose a distant supervision method for training, which comprises a reasoning process extension strategy, aiding in training LLMs to understand reasoning patterns more effectively as well as a cross-way validation strategy, ensuring the quality of the automatically generated data. To evaluate the performance of TableLLM, we have crafted benchmarks tailored to address both document and spreadsheet formats as well as constructed a well-organized evaluation pipeline capable of handling both scenarios. Thorough evaluations underscore the advantages of TableLLM when compared to various existing general-purpose and tabular data-focused LLMs. We have publicly released the model checkpoint, source code, benchmarks, and a web application for user interaction. Our codes and data are publicly available at https://github.com/TableLLM/TableLLM.

Key facts. Cited by 76 papers in the map (data through 7 Oct 2026). Builds on 35 of its 59 references that are in the map. First posted on arXiv 28 Mar 2024.

Builds on

35 of 59 references.

References · 35

  1. 2022Training language models to follow instructions with human feedbackcited by 15,712
  2. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  3. 2023Code Llama: Open Foundation Models for Codecited by 2,105
  4. 2018Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Taskcited by 1,120
  5. 2017Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learningcited by 679
  6. 2015Compositional Semantic Parsing on Semi-Structured Tablescited by 509
  7. 2023DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correctioncited by 465
  8. 2020TAPAS: Weakly Supervised Table Parsing via Pre-trainingcited by 432
  9. 2021TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Financecited by 402
  10. 2020TaBERT: Pretraining for Joint Understanding of Textual and Tabular Datacited by 395
  11. 2023StructGPT: A General Framework for Large Language Model to Reason over Structured Datacited by 339
  12. 2021TAPEX: Table Pre-training via Learning a Neural SQL Executorcited by 233
23 more
  1. 2022UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Modelscited by 231
  2. 2022Binding Language Models in Symbolic Languagescited by 224
  3. 2024Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understandingcited by 185
  4. 2023Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoningcited by 177
  5. 2021FeTaQA: Free-form Table Question Answeringcited by 174
  6. 2020GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsingcited by 171
  7. 2020Open Question Answering over Tables and Textcited by 163
  8. 2023C3: Zero-shot Text-to-SQL with ChatGPTcited by 159
  9. 2023ChatDB: Augmenting LLMs with Databases as Their Symbolic Memorycited by 136
  10. 2023TableLlama: Towards Open Large Generalist Models for Tablescited by 136
  11. 2024InfiAgent-DABench: Evaluating Agents on Data Analysis Taskscited by 134
  12. 2021TABBIE: Pretrained Representations of Tabular Datacited by 111
  13. 2022TableFormer: Robust Transformer Modeling for Table-Text Encodingcited by 90
  14. 2023Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflowcited by 76
  15. 2023ReAcTable: Enhancing ReAct for Table Question Answeringcited by 76
  16. 2023Table-GPT: Table-tuned GPT for Diverse Table Taskscited by 69
  17. 2021MATE: Multi-view Attention for Table Transformer Efficiencycited by 54
  18. 2021GitTables: A Large-Scale Corpus of Relational Tablescited by 44
  19. 2022Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Taskscited by 42
  20. 2023Large Language Models are Complex Table Parserscited by 28
  21. 2023DB-GPT: Empowering Database Interactions with Private Large Language Modelscited by 27
  22. 2024TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Datacited by 19
  23. 2023Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tablescited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 15; 2025: 41; 2026: 20.

76 papers.

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  1. 2024LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitaskscited by 367
  2. 2024TableBench: A Comprehensive and Complex Benchmark for Table Question Answeringcited by 127
  3. 2024A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discoverycited by 96
  4. 2024TableGPT2: A Large Multimodal Model with Tabular Data Integrationcited by 69
  5. 2025Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Modelscited by 69
  6. 2025DeepAnalyze: Agentic Large Language Models for Autonomous Data Sciencecited by 49
  7. 2025A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applicationscited by 40
  8. 2025Table-R1: Region-based Reinforcement Learning for Table Understandingcited by 35
  9. 2025Table-R1: Inference-Time Scaling for Table Reasoningcited by 23
  10. 2026LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decodingcited by 20
  11. 2025Reasoning-Table: Exploring Reinforcement Learning for Table Reasoningcited by 18
  12. 2024SpreadsheetLLM: Encoding Spreadsheets for Large Language Modelscited by 15
38 more
  1. 2024StrucText-Eval: Evaluating Large Language Model's Reasoning Ability in Structure-Rich Textcited by 13
  2. 2024Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answeringcited by 13
  3. 2024Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representationscited by 12
  4. 2025ST-Raptor: LLM-Powered Semi-Structured Table Question Answeringcited by 11
  5. 2025Rethinking Table Instruction Tuningcited by 10
  6. 2025RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversalscited by 10
  7. 2024FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formatscited by 8
  8. 2024Large Language Models Engineer Too Many Simple Features For Tabular Datacited by 8
  9. 2025NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tablescited by 8
  10. 2025Atomic Reasoning for Scientific Table Claim Verificationcited by 8
  11. 2025Zephyrus: An Agentic Framework for Weather Sciencecited by 8
  12. 2025LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sightcited by 8
  13. 2025CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesiscited by 7
  14. 2025General Table Question Answering via Answer-Formula Joint Generationcited by 7
  15. 2025Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliancecited by 7
  16. 2024GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Makingcited by 6
  17. 2025Efficient numeracy in language models through single-token number embeddingscited by 6
  18. 2025Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understandingcited by 6
  19. 2025TabularMath: Understanding Math Reasoning over Tables with Large Language Modelscited by 5
  20. 2025TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Datacited by 5
  21. 2025TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Modelscited by 4
  22. 2025TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuningcited by 4
  23. 2025Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluationcited by 4
  24. 2026TabSieve: Explicit In-Table Evidence Selection for Tabular Predictioncited by 4
  25. 2026FinSheet-Bench: From Simple Lookups to Complex Reasoning, Where LLMs Break on Financial Spreadsheetscited by 4
  26. 2025Formula-R1: Incentivizing LLM Reasoning over Complex Tables with Numerical Computation via Formula-Driven Reinforcement Learningcited by 3
  27. 2025TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answeringcited by 3
  28. 2025Same Content, Different Representations: A Controlled Study for Table QAcited by 3
  29. 2025STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Modelscited by 3
  30. 20242D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Modelscited by 2
  31. 2025What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effectscited by 2
  32. 2025AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Datacited by 2
  33. 2026DTBench: A Synthetic Benchmark for Document-to-Table Extractioncited by 2
  34. 2026DocSage: An Information Structuring Agent for Multi-Doc Multi-Entity Question Answeringcited by 2
  35. 2024HySem: A context length optimized LLM pipeline for unstructured tabular extractioncited by 1
  36. 2024Talking with Tables for Better LLM Factual Data Interactionscited by 1
  37. 2025HCT-QA: A Benchmark for Question Answering on Human-Centric Tablescited by 1
  38. 2025p2-TQA: A Process-based Preference Learning Framework for Self-Improving Table Question Answering Modelscited by 1

50 most cited of 76 All 76 (JSON)

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  1. 2025RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis
  2. 2025Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding
  3. 2026ProgramTab: Boosting Table Reasoning of LLMs via Programmatic Paradigm
  4. 2024Large Language Model for Table Processing: A Survey
  5. 2025Tabular Data Understanding with LLMs: A Survey of Recent Advances and Challenges
  6. 2025How well do LLMs reason over tabular data, really?
  7. 2023TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
  8. 2023Rethinking Tabular Data Understanding with Large Language Models