mlsanityData to 14 Oct 2026

ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification

arXiv 2604.10159 ↗First posted 11 Apr 2026cs.CL cs.DB cs.IRcited by 1

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Abstract (arXiv)

The advancement of large language models (LLMs) has enhanced tabular question answering (Tabular QA), yet they struggle with open-domain queries exhibiting underspecified or uncertain expressions. To address this, we introduce the ODUTQA-MDC task and the first comprehensive benchmark to tackle it. This benchmark includes: (1) a large-scale ODUTQA dataset with 209 tables and 25,105 QA pairs; (2) a fine-grained labeling scheme for detailed evaluation; and (3) a dynamic clarification interface that simulates user feedback for interactive assessment. We also propose MAIC-TQA, a multi-agent framework that excels at detecting ambiguities, clarifying them through dialogue, and refining answers. Experiments validate our benchmark and framework, establishing them as a key resource for advancing conversational, underspecification-aware Tabular QA research.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 18 of its 28 references that are in the map. First posted on arXiv 11 Apr 2026.

Builds on

18 of 28 references.

References · 18

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2025Qwen3 Technical Reportcited by 8,820
  3. 2023SGLang: Efficient Execution of Structured Language Model Programscited by 1,141
  4. 2018Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Taskcited by 1,139
  5. 2024ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Toolscited by 1,121
  6. 2024Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Surveycited by 159
  7. 2024Large Language Models Meet NLP: A Surveycited by 103
  8. 2020A Co-Interactive Transformer for Joint Slot Filling and Intent Detectioncited by 61
  9. 2023Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Tablecited by 40
  10. 2024AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queriescited by 35
  11. 2023Benchmarking and Improving Text-to-SQL Generation under Ambiguitycited by 34
  12. 2024PURPLE: Making a Large Language Model a Better SQL Writercited by 34
6 more
  1. 2024OpenTab: Advancing Large Language Models as Open-domain Table Reasonerscited by 25
  2. 2023Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniquescited by 24
  3. 2024PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queriescited by 19
  4. 2025Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answeringcited by 6
  5. 2024RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sectorcited by 4
  6. 2025ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilitiescited by 3

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