Browse State-of-the-Art › Question Rewriting
Question Rewriting
15 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
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Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
15 shown of 15 papers with code (26 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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16 Dec 2021 2 repositories listedIn this work, we conduct the first large-scale human evaluation of state-of-the-art conversational QA systems, where human evaluators converse with models and judge the correctness of their answers.
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10 Oct 2020 2 repositories listed Syntology ran 0 of 8 samples · 8 unverifiedWe introduce a new dataset for Question Rewriting in Conversational Context (QReCC), which contains 14K conversations with 80K question-answer pairs.
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31 Mar 2024 1 repository listedWe also prove that our model logically and incrementally increases the complexity of questions, and the generated multi-hop questions are also beneficial for training question answering models.
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12 Nov 2023 1 repository listedIn conversational question answering (CQA), the task of question rewriting~(QR) in context aims to rewrite a context-dependent question into an equivalent self-contained question that gives the same answer.
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20 May 2023 1 repository listedThe VNHSGE (VietNamese High School Graduation Examination) dataset, developed exclusively for evaluating large language models (LLMs), is introduced in this article.
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17 May 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedIn the MTL setting, an instruction tuned model trained on only 6% of downstream training data achieve SOTA, while using 100% of the training data results in a 3.
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26 Dec 2022 1 repository listed Syntology ran 1 of 4 samples · 3 unverified · 4 pointer-only (licence)Complex knowledge base question answering can be achieved by converting questions into sequences of predefined actions.
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7 Jul 2022 1 repository listedCoQAR can be used in the supervised learning of three tasks: question paraphrasing, question rewriting and conversational question answering.
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13 Apr 2022 1 repository listed Syntology ran 1 of 8 samples · 7 unverifiedQuestion 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.
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22 Jan 2022 1 repository listedIn conversational question answering, systems must correctly interpret the interconnected interactions and generate knowledgeable answers, which may require the retrieval of relevant information from a background…
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22 Jun 2021 1 repository listed Syntology ran 2 of 3 samples · 1 unverifiedOne of the main challenges in conversational question answering (CQA) is to resolve the conversational dependency, such as anaphora and ellipsis.
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19 Jan 2021 1 repository listedConversational passage retrieval relies on question rewriting to modify the original question so that it no longer depends on the conversation history.
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13 Oct 2020 1 repository listedThe dependency between an adequate question formulation and correct answer selection is a very intriguing but still underexplored area.
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Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space4 Oct 2020 1 repository listedIn this paper, we propose a novel data augmentation method, referred to as Controllable Rewriting based Question Data Augmentation (CRQDA), for machine reading comprehension (MRC), question generation, and…
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21 Nov 2019 1 repository listedWe present a large-scale dataset for the task of rewriting an ill-formed natural language question to a well-formed one.
Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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