mlsanityData to 14 Oct 2026

Open-Domain Question Answering Goes Conversational via Question Rewriting

arXiv 2010.04898 ↗First posted 10 Oct 2020cs.IR cs.CLcited by 148

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Cited by 24 in Retrieval-augmented generation, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We introduce a new dataset for Question Rewriting in Conversational Context (QReCC), which contains 14K conversations with 80K question-answer pairs. The task in QReCC is to find answers to conversational questions within a collection of 10M web pages (split into 54M passages). Answers to questions in the same conversation may be distributed across several web pages. QReCC provides annotations that allow us to train and evaluate individual subtasks of question rewriting, passage retrieval and reading comprehension required for the end-to-end conversational question answering (QA) task. We report the effectiveness of a strong baseline approach that combines the state-of-the-art model for question rewriting, and competitive models for open-domain QA. Our results set the first baseline for the QReCC dataset with F1 of 19.10, compared to the human upper bound of 75.45, indicating the difficulty of the setup and a large room for improvement.

Key facts. Cited by 148 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Oct 2020.

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Citing papers per year: 2021: 12; 2022: 25; 2023: 27; 2024: 38; 2025: 27; 2026: 19.

148 papers.

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  1. 2022Scaling Instruction-Finetuned Language Modelscited by 3,024
  2. 2024Evaluating Very Long-Term Conversational Memory of LLM Agentscited by 830
  3. 2022Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPcited by 318
  4. 2022RARR: Researching and Revising What Language Models Say, Using Language Modelscited by 287
  5. 2021Measuring Attribution in Natural Language Generation Modelscited by 256
  6. 2023Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answeringcited by 151
  7. 2022Task-aware Retrieval with Instructionscited by 107
  8. 2021TopiOCQA: Open-domain Conversational Question Answering with Topic Switchingcited by 96
  9. 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
  10. 2024ChatQA: Surpassing GPT-4 on Conversational QA and RAGcited by 90
  11. 2023Answering Questions by Meta-Reasoning over Multiple Chains of Thoughtcited by 87
  12. 2023Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewritingcited by 69
38 more
  1. 2021CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learningcited by 68
  2. 2023A Multi-Task Embedder For Retrieval Augmented LLMscited by 64
  3. 2025A Systematic Survey of Automatic Prompt Optimization Techniquescited by 63
  4. 2023ConvGQR: Generative Query Reformulation for Conversational Searchcited by 59
  5. 2022Dialog Inpainting: Turning Documents into Dialogscited by 56
  6. 2023PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptionscited by 53
  7. 2022PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Financecited by 45
  8. 2022Neural Approaches to Conversational Information Retrievalcited by 42
  9. 2024Text2SQL is Not Enough: Unifying AI and Databases with TAGcited by 34
  10. 2024CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Searchcited by 29
  11. 2021Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answeringcited by 27
  12. 2022INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactionscited by 27
  13. 2024Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Modelscited by 27
  14. 2023Learning to Relate to Previous Turns in Conversational Searchcited by 26
  15. 2024Can Large Language Models Understand Context?cited by 26
  16. 2024Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbotscited by 25
  17. 2024Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Checkcited by 24
  18. 2024Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversationcited by 23
  19. 2024A Survey on Recent Advances in Conversational Data Generationcited by 23
  20. 2024Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Taskscited by 23
  21. 2024A Survey of Conversational Searchcited by 22
  22. 2025A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applicationscited by 22
  23. 2023Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QAcited by 20
  24. 2024INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuningcited by 20
  25. 2021Ditch the Gold Standard: Re-evaluating Conversational Question Answeringcited by 19
  26. 2022Saving Dense Retriever from Shortcut Dependency in Conversational Searchcited by 19
  27. 2022Reinforced Question Rewriting for Conversational Question Answeringcited by 19
  28. 2024ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrievalcited by 19
  29. 2024Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Actioncited by 19
  30. 2024Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessmentcited by 19
  31. 2021Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphscited by 18
  32. 2024Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentationcited by 17
  33. 2024Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Artcited by 17
  34. 2021A Comparison of Question Rewriting Methods for Conversational Passage Retrievalcited by 16
  35. 2022Question rewriting? Assessing its importance for conversational question answeringcited by 15
  36. 2024Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answerscited by 15
  37. 2024AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignmentcited by 14
  38. 2021CREAD: Combined Resolution of Ellipses and Anaphora in Dialoguescited by 13

50 most cited of 148 All 148 (JSON)