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Incorporating External Knowledge to Enhance Tabular Reasoning

arXiv 2104.04243 ↗First posted 9 Apr 2021cs.CL cs.AI cs.IRcited by 23

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Abstract (arXiv)

Reasoning about tabular information presents unique challenges to modern NLP approaches which largely rely on pre-trained contextualized embeddings of text. In this paper, we study these challenges through the problem of tabular natural language inference. We propose easy and effective modifications to how information is presented to a model for this task. We show via systematic experiments that these strategies substantially improve tabular inference performance.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). Builds on 20 of its 29 references that are in the map. First posted on arXiv 9 Apr 2021.

Builds on

20 of 29 references.

References · 20

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8 more
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Citing papers per year: 2021: 6; 2022: 9; 2023: 5; 2024: 2; 2025: 1.

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  1. 2023Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoningcited by 177
  2. 2022Rethinking with Retrieval: Faithful Large Language Model Inferencecited by 145
  3. 2021Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skillscited by 39
  4. 2022ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examplescited by 29
  5. 2023TempTabQA: Temporal Question Answering for Semi-Structured Tablescited by 27
  6. 2024CABINET: Content Relevance based Noise Reduction for Table Question Answeringcited by 23
  7. 2021RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsingcited by 15
  8. 2023Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Taskscited by 10
  9. 2021Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoningcited by 9
  10. 2024Enhancing Temporal Understanding in LLMs for Semi-structured Tablescited by 8
  11. 2022Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Modelscited by 6
  12. 2022Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Frameworkcited by 6
11 more
  1. 2023Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Setscited by 6
  2. 2021Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verificationcited by 4
  3. 2022Realistic Data Augmentation Framework for Enhancing Tabular Reasoningcited by 4
  4. 2021Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learningcited by 3
  5. 2022Arithmetic-Based Pretraining -- Improving Numeracy of Pretrained Language Modelscited by 3
  6. 2022Enhancing Tabular Reasoning with Pattern Exploiting Trainingcited by 3
  7. 2022Leveraging Data Recasting to Enhance Tabular Reasoningcited by 3
  8. 2023InfoSync: Information Synchronization across Multilingual Semi-structured Tablescited by 3
  9. 2021TabPert: An Effective Platform for Tabular Perturbationcited by 2
  10. 2022Logical Inference for Counting on Semi-structured Tablescited by 0
  11. 2025Language Models That Walk the Talk: A Framework for Formal Fairness Certificatescited by 0