mlsanityData to 7 Oct 2026

End-to-End Open-Domain Question Answering with BERTserini

arXiv 1902.01718 ↗First posted 5 Feb 2019cs.CL cs.IRcited by 152

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Abstract (arXiv)

We demonstrate an end-to-end question answering system that integrates BERT with the open-source Anserini information retrieval toolkit. In contrast to most question answering and reading comprehension models today, which operate over small amounts of input text, our system integrates best practices from IR with a BERT-based reader to identify answers from a large corpus of Wikipedia articles in an end-to-end fashion. We report large improvements over previous results on a standard benchmark test collection, showing that fine-tuning pretrained BERT with SQuAD is sufficient to achieve high accuracy in identifying answer spans.

Key facts. Cited by 152 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Feb 2019.

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Citing papers per year: 2021: 47; 2022: 44; 2023: 33; 2024: 16; 2025: 10; 2026: 2.

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  1. 2023H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Modelscited by 805
  2. 2022A-OKVQA: A Benchmark for Visual Question Answering using World Knowledgecited by 702
  3. 2024Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Surveycited by 641
  4. 2024Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexitycited by 437
  5. 2023CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Servingcited by 199
  6. 2023Large Language Models on Graphs: A Comprehensive Surveycited by 190
  7. 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answeringcited by 178
  8. 2021Simple Entity-Centric Questions Challenge Dense Retrieverscited by 140
  9. 2022REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memorycited by 122
  10. 2021The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generationcited by 96
  11. 2021TopiOCQA: Open-domain Conversational Question Answering with Topic Switchingcited by 95
  12. 2021Open Domain Question Answering over Tables via Dense Retrievalcited by 74
38 more
  1. 2021KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answeringcited by 66
  2. 2022Recitation-Augmented Language Modelscited by 65
  3. 2023Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformerscited by 59
  4. 2022THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryptioncited by 55
  5. 2024STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Basescited by 53
  6. 2022QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphscited by 42
  7. 2023The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Mattercited by 42
  8. 2021Attacking Open-domain Question Answering by Injecting Misinformationcited by 41
  9. 2021A Replication Study of Dense Passage Retrievercited by 37
  10. 2021TWEAC: Transformer with Extendable QA Agent Classifierscited by 37
  11. 2021R2-D2: A Modular Baseline for Open-Domain Question Answeringcited by 37
  12. 2023Augmented Large Language Models with Parametric Knowledge Guidingcited by 37
  13. 2021Scaling Federated Learning for Fine-tuning of Large Language Modelscited by 36
  14. 2022An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Taskscited by 36
  15. 2023Evaluating Open-QA Evaluationcited by 35
  16. 2021Phrase Retrieval Learns Passage Retrieval, Toocited by 33
  17. 2021Challenges in Generalization in Open Domain Question Answeringcited by 30
  18. 2021ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Historical News Collectionscited by 30
  19. 2021Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrievalcited by 27
  20. 2023Large Language Models are Built-in Autoregressive Search Enginescited by 26
  21. 2021NoiseQA: Challenge Set Evaluation for User-Centric Question Answeringcited by 25
  22. 2021Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answeringcited by 25
  23. 2022Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deploymentcited by 25
  24. 2023IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositionscited by 25
  25. 2021Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directionscited by 24
  26. 2023Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attributioncited by 24
  27. 2022Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answeringcited by 22
  28. 2023Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applicationscited by 21
  29. 2021Think about it! Improving defeasible reasoning by first modeling the question scenariocited by 20
  30. 2022Improving Biomedical Information Retrieval with Neural Retrieverscited by 20
  31. 2022Question Generation for Reading Comprehension Assessment by Modeling How and What to Askcited by 20
  32. 2022A Survey for Efficient Open Domain Question Answeringcited by 20
  33. 2023Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Modelscited by 20
  34. 2021Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answeringcited by 19
  35. 2022Saving Dense Retriever from Shortcut Dependency in Conversational Searchcited by 18
  36. 2021Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matricescited by 17
  37. 2021You Only Need One Model for Open-domain Question Answeringcited by 17
  38. 2022Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQAcited by 17

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