mlsanityData to 13 Oct 2026

WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval

arXiv 1805.03797 ↗First posted 10 May 2018cs.IRcited by 19

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Abstract (arXiv)

With the rise in mobile and voice search, answer passage retrieval acts as a critical component of an effective information retrieval system for open domain question answering. Currently, there are no comparable collections that address non-factoid question answering within larger documents while simultaneously providing enough examples sufficient to train a deep neural network. In this paper, we introduce a new Wikipedia based collection specific for non-factoid answer passage retrieval containing thousands of questions with annotated answers and show benchmark results on a variety of state of the art neural architectures and retrieval models. The experimental results demonstrate the unique challenges presented by answer passage retrieval within topically relevant documents for future research.

Key facts. Cited by 19 papers in the map (data through 13 Oct 2026). First posted on arXiv 10 May 2018.

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Citing papers per year: 2021: 6; 2022: 3; 2023: 2; 2024: 3; 2025: 4; 2026: 1.

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  2. 2021TWEAC: Transformer with Extendable QA Agent Classifierscited by 37
  3. 2023Merging by Matching Models in Task Parameter Subspacescited by 35
  4. 2022Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrievalcited by 27
  5. 2021ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphscited by 22
  6. 2021Contrastive Fine-tuning Improves Robustness for Neural Rankerscited by 12
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  10. 2021Weakly-Supervised Open-Retrieval Conversational Question Answeringcited by 4
  11. 2023Performance Prediction for Multi-hop Questionscited by 4
  12. 2025RAGXplain: From Explainable Evaluation to Actionable Guidance of RAG Pipelinescited by 4
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  2. 2021POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labellingcited by 2
  3. 2025Long-context Non-factoid Question Answering in Indic Languagescited by 1
  4. 2025PD3: A Project Duplication Detection Framework via Adapted Multi-Agent Debatecited by 1
  5. 2022Explainability of Text Processing and Retrieval Methods: A Surveycited by 0
  6. 2025SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generationcited by 0
  7. 2026Model Merging via Data-Free Covariance Estimationcited by 0