mlsanityData to 14 Oct 2026

HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering

arXiv 2309.12669 ↗First posted 22 Sep 2023cs.CLcited by 5

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

Abstract (arXiv)

Answering numerical questions over hybrid contents from the given tables and text(TextTableQA) is a challenging task. Recently, Large Language Models (LLMs) have gained significant attention in the NLP community. With the emergence of large language models, In-Context Learning and Chain-of-Thought prompting have become two particularly popular research topics in this field. In this paper, we introduce a new prompting strategy called Hybrid prompt strategy and Retrieval of Thought for TextTableQA. Through In-Context Learning, we prompt the model to develop the ability of retrieval thinking when dealing with hybrid data. Our method achieves superior performance compared to the fully-supervised SOTA on the MultiHiertt dataset in the few-shot setting.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Placed in Knowledge- and tool-augmented reasoning, one of 17 directions in LLM reasoning. Builds on 22 of its 25 references that are in the map. First posted on arXiv 22 Sep 2023.

Builds on

22 of 25 references.

References · 22

  1. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  2. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,708
  3. 2022Large Language Models are Zero-Shot Reasonerscited by 4,374
  4. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
  5. 2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingcited by 2,234
  6. 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,181
  7. 2021Scaling Language Models: Methods, Analysis & Insights from Training Gophercited by 1,202
  8. 2018Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Taskcited by 1,139
  9. 2022Automatic Chain of Thought Prompting in Large Language Modelscited by 688
  10. 2021FinQA: A Dataset of Numerical Reasoning over Financial Datacited by 562
  11. 2015Compositional Semantic Parsing on Semi-Structured Tablescited by 515
  12. 2021TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Financecited by 408
10 more
  1. 2020HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Datacited by 264
  2. 2019Dice Loss for Data-imbalanced NLP Taskscited by 182
  3. 2020Open Question Answering over Tables and Textcited by 163
  4. 2022MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Datacited by 121
  5. 2023MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Imagescited by 18
  6. 2022Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decodercited by 17
  7. 2023S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answeringcited by 17
  8. 2022UniRPG: Unified Discrete Reasoning over Table and Text as Program Generationcited by 13
  9. 2023Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Questioncited by 10
  10. 2022NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question Answeringcited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 1; 2025: 2; 2026: 1.

5 papers.

  1. 2024Large Language Models Meet NLP: A Surveycited by 103
  2. 2023TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answeringcited by 7
  3. 2025Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluationcited by 5
  4. 2025MULTITAT: Benchmarking Multilingual Table-and-Text Question Answeringcited by 2
  5. 2026FT-RAG: A Fine-grained Retrieval-Augmented Generation Framework for Complex Table Reasoningcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization
  2. 2023Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning
  3. 2023SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
  4. 2022Reasoning over Hybrid Chain for Table-and-Text Open Domain QA
  5. 2024Prompting-based Synthetic Data Generation for Few-Shot Question Answering
  6. 2022Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
  7. 2024Layer-of-Thoughts Prompting (LoT): Leveraging LLM-Based Retrieval with Constraint Hierarchies
  8. 2024Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data