mlsanityData to 7 Oct 2026

HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data

arXiv 2204.13243 ↗First posted 28 Apr 2022cs.CLcited by 28

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Abstract (arXiv)

A pressing challenge in current dialogue systems is to successfully converse with users on topics with information distributed across different modalities. Previous work in multiturn dialogue systems has primarily focused on either text or table information. In more realistic scenarios, having a joint understanding of both is critical as knowledge is typically distributed over both unstructured and structured forms. We present a new dialogue dataset, HybriDialogue, which consists of crowdsourced natural conversations grounded on both Wikipedia text and tables. The conversations are created through the decomposition of complex multihop questions into simple, realistic multiturn dialogue interactions. We propose retrieval, system state tracking, and dialogue response generation tasks for our dataset and conduct baseline experiments for each. Our results show that there is still ample opportunity for improvement, demonstrating the importance of building stronger dialogue systems that can reason over the complex setting of information-seeking dialogue grounded on tables and text.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). Builds on 28 of its 42 references that are in the map. First posted on arXiv 28 Apr 2022.

Builds on

28 of 42 references.

References · 28

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16 more
  1. 2019TabFact: A Large-scale Dataset for Table-based Fact Verificationcited by 425
  2. 2020HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Datacited by 263
  3. 2020MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselinescited by 201
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 5; 2024: 12; 2025: 5; 2026: 2.

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  1. 2024Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Surveycited by 157
  2. 2022Large Language Models are few(1)-shot Table Reasonerscited by 116
  3. 2024ChatQA: Surpassing GPT-4 on Conversational QA and RAGcited by 90
  4. 2023Retrieving Multimodal Information for Augmented Generation: A Surveycited by 84
  5. 2022PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Financecited by 45
  6. 2024Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversationscited by 43
  7. 2024On the Multi-turn Instruction Following for Conversational Web Agentscited by 42
  8. 2025Table-R1: Region-based Reinforcement Learning for Table Understandingcited by 35
  9. 2024PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answeringcited by 34
  10. 2024CABINET: Content Relevance based Noise Reduction for Table Question Answeringcited by 23
  11. 2024gTBLS: Generating Tables from Text by Conditional Question Answeringcited by 13
  12. 2023Unifying Corroborative and Contributive Attributions in Large Language Modelscited by 10
16 more
  1. 2024cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Paperscited by 10
  2. 2023LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Controlcited by 8
  3. 2025EnronQA: Towards Personalized RAG over Private Documentscited by 8
  4. 2022A Survey on Table-and-Text HybridQA: Concepts, Methods, Challenges and Future Directionscited by 7
  5. 2023cTBLS: Augmenting Large Language Models with Conversational Tablescited by 7
  6. 2024Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcriptscited by 6
  7. 2024Redefining Proactivity for Information Seeking Dialoguecited by 4
  8. 2023Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Userscited by 3
  9. 2024iTBLS: A Dataset of Interactive Conversations Over Tabular Informationcited by 3
  10. 2025Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentationcited by 2
  11. 2025DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilitiescited by 2
  12. 2025FineDialFact: A benchmark for Fine-grained Dialogue Fact Verificationcited by 1
  13. 2022Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialogcited by 0
  14. 2024Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferencescited by 0
  15. 2026Comprehensive Comparison of RAG Methods Across Multi-Domain Conversational QAcited by 0
  16. 2026Fine-Refine: Iterative Fine-grained Refinement for Mitigating Dialogue Hallucinationcited by 0