mlsanityData to 7 Oct 2026

Can Question Rewriting Help Conversational Question Answering?

arXiv 2204.06239 ↗First posted 13 Apr 2022cs.CLcited by 8

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Abstract (arXiv)

Question rewriting (QR) is a subtask of conversational question answering (CQA) aiming to ease the challenges of understanding dependencies among dialogue history by reformulating questions in a self-contained form. Despite seeming plausible, little evidence is available to justify QR as a mitigation method for CQA. To verify the effectiveness of QR in CQA, we investigate a reinforcement learning approach that integrates QR and CQA tasks and does not require corresponding QR datasets for targeted CQA. We find, however, that the RL method is on par with the end-to-end baseline. We provide an analysis of the failure and describe the difficulty of exploiting QR for CQA.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 31 of its 38 references that are in the map. First posted on arXiv 13 Apr 2022.

Builds on

31 of 38 references.

References · 31

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19 more
  1. 2020Open-Domain Question Answering Goes Conversational via Question Rewritingcited by 147
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 1; 2025: 2; 2026: 1.

8 papers.

  1. 2024ChatQA: Surpassing GPT-4 on Conversational QA and RAGcited by 90
  2. 2023Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generationcited by 7
  3. 2023IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languagescited by 5
  4. 2025Towards Adaptive Context Management for Intelligent Conversational Question Answeringcited by 3
  5. 2023A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasetscited by 2
  6. 2026Why Does Feedback-Augmented Self-Distillation Fail to Improve Retrieval-Interleaved Search Agents?cited by 2
  7. 2023Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehensioncited by 1
  8. 2025A Survey of the State-of-the-Art in Conversational Question Answering Systemscited by 1