Question-Answer-Generation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

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

12 shown of 12 papers with code (37 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.

• MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
  20 Dec 2021 2 repositories listed
  Specifically, the task involves multi-hop questions that require reasoning over image-caption pairs to identify the grounded visual object being referred to and then predicting a span from the news body text to answer…
• It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books
  8 Sep 2021 2 repositories listed
  Existing question answering (QA) techniques are created mainly to answer questions asked by humans.
• Quiz-Style Question Generation for News Stories
  18 Feb 2021 2 repositories listed
  As a first step towards measuring news informedness at a scale, we study the problem of quiz-style multiple-choice question generation, which may be used to survey users about their knowledge of recent news.
• Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus
  27 Jan 2020 2 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 2 pointer-only (licence)
  In this paper, we propose Answer-Clue-Style-aware Question Generation (ACS-QG), which aims at automatically generating high-quality and diverse question-answer pairs from unlabeled text corpus at scale by imitating the…
• KG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation
  18 May 2025 1 repository listed
  The increasing context length of modern language models has created a need for evaluating their ability to retrieve and process information across extensive documents.
• On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension
  3 Apr 2024 1 repository listed
  A controllable question generation scheme focuses on generating questions with specific attributes, allowing better control.
• DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding
  29 Oct 2023 1 repository listed
  Our DCQA dataset is expected to foster research on understanding visualizations in documents, especially for scenarios that require complex reasoning for charts in the visually-rich document.
• Combining Data Generation and Active Learning for Low-Resource Question Answering
  27 Nov 2022 1 repository listed
  In this work, we propose a novel approach that combines data augmentation via question-answer generation with Active Learning to improve performance in low-resource settings, where the target domains are diverse in…
• TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation
  3 Aug 2022 1 repository listed
  To address this deficiency, we develop a new method to generate high-quality and diverse QA pairs by explicitly utilizing the existing rich text available in the scene context of each image.
• Change Detection Meets Visual Question Answering
  12 Dec 2021 1 repository listed
  In order to provide every user with flexible access to change information and help them better understand land-cover changes, we introduce a novel task: change detection-based visual question answering (CDVQA) on…
• End-to-End Video Question-Answer Generation with Generator-Pretester Network
  5 Jan 2021 1 repository listed
  Furthermore, using our generated QA pairs only on the Video QA task, we can surpass some supervised baselines.
• Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
  28 May 2020 1 repository listed Syntology ran 0 of 16 samples · 16 unverified
  We validate our Information Maximizing Hierarchical Conditional Variational AutoEncoder (Info-HCVAE) on several benchmark datasets by evaluating the performance of the QA model (BERT-base) using only the generated QA…

Syntology lines on 2 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.