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home / docs / papers / cited-by / Who cites «RACE: Large-scale ReAding Comprehension Dataset From Examinations» · page 5

Who cites «RACE: Large-scale ReAding Comprehension Dataset From Examinations» · page 5

617 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2 · 3 · 4 · 5 · 6 · 7

  1. FriendsQA: Open-Domain Question Answering on TV Show Transcripts — 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
  2. From ''F'' to ''A'' on the N.Y. Regents Science Exams: An Overview of the Aristo Project — 2019 · arXiv:1909.01958
  3. GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  4. HEAD-QA: A Healthcare Dataset for Complex Reasoning — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  5. Improving Machine Reading Comprehension with General Reading Strategies — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  6. Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  7. Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension — 2019 · arXiv:1904.09679
  8. JEC-QA: A Legal-Domain Question Answering Dataset — 2019 · arXiv:1911.12011
  9. KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  10. Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  11. MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants — 2019 · Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
  12. Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism — 2019 · arXiv:1909.08053
  13. MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  14. Natural Questions: A Benchmark for Question Answering Research — 2019
  15. NumNet: Machine Reading Comprehension with Numerical Reasoning — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  16. Patient Knowledge Distillation for BERT Model Compression — 2019 · arXiv:1908.09355
  17. QASC: A Dataset for Question Answering via Sentence Composition — 2019 · arXiv:1910.11473
  18. QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions — 2019 · arXiv:1909.03553
  19. Question Answering by Reasoning Across Documents with Graph Convolutional Networks — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  20. Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  21. Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning — our card · 2019 · arXiv:1908.05803
  22. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172
  23. Repurposing Entailment for Multi-Hop Question Answering Tasks — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  24. RoBERTa: A Robustly Optimized BERT Pretraining Approach — 2019 · arXiv:1907.11692
  25. TWEETQA: A Social Media Focused Question Answering Dataset — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  26. Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering — 2019 · Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing
  27. What''s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  28. XLNet: Generalized Autoregressive Pretraining for Language Understanding — 2019 · arXiv:1906.08237
  29. 基於特徵粒度之訓練策略於中文口語問答系統之應用 (A Feature-granularity Training Strategy for Chinese Spoken Question Answering) — 2019
  30. A Co-Matching Model for Multi-choice Reading Comprehension — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  31. A Span-Extraction Dataset for Chinese Machine Reading Comprehension — 2018 · arXiv:1810.07366 · EMNLP 2019 5886-5891
  32. Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  33. DRCD: a Chinese Machine Reading Comprehension Dataset — 2018 · arXiv:1806.00920
  34. DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  35. Efficient and Robust Question Answering from Minimal Context over Documents — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks — our card · 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  37. Know What You Don''t Know: Unanswerable Questions for SQuAD — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  38. Large-scale Cloze Test Dataset Created by Teachers — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  39. Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences — our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  40. MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  41. Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  42. Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  43. Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds — our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  44. Neural Approaches to Conversational AI — 2018 · arXiv:1809.08267
  45. ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension — 2018 · arXiv:1810.12885
  46. Reading Comprehension with Graph-based Temporal-Casual Reasoning — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  47. SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
  48. The Web as a Knowledge-Base for Answering Complex Questions — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  49. Transforming Question Answering Datasets Into Natural Language Inference Datasets — 2018 · arXiv:1809.02922
  50. What Makes Reading Comprehension Questions Easier? — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  51. Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
  52. DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications — 2017 · arXiv:1711.05073
  53. Dynamic Fusion Networks for Machine Reading Comprehension — 2017 · arXiv:1711.04964
  54. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  55. MS MARCO: A Human Generated MAchine Reading COmprehension Dataset — 2016 · arXiv:1611.09268
  56. agrawal-2024-exmy-data-type-technique-arbitrary
  57. aksu-2021-velocidapter-task-oriented-dialogue-comprehension
  58. alrashed-2025-mix-minhash-match-cross-source
  59. alsarra-2023-conflibert-arabic-pre-trained-arabic
  60. alyafeai-2025-mole-metadata-extraction-validation-scientific
  61. bai-2025-efficient-pretraining-data-selection-language
  62. bansal-2023-few-shot-unified-question-answering
  63. benedetto-2025-survey-automated-distractor-evaluation-multiple
  64. berger-2026-generation-evaluation-resource-error-categorized
  65. borchmann-2025-arc-challenge-is-not-that
  66. brunato-2018-darc-it-dataset-reading-comprehension
  67. byun-2025-textit-d-gen-automatic-distractor
  68. cahyawijaya-2022-how-long-is-enough-exploring
  69. carlsson-2021-gandalf-general-character-name-description
  70. chen-2021-neuer-semeval-2021-task-4
  71. chen-2023-boosting-inference-efficiency-unleashing-power
  72. chen-2023-natural-response-generation-chinese-reading
  73. chen-2025-cross-task-examples-task-prompts
  74. chen-2025-simple-linear-patch-revives-layer
  75. chen-2025-unveiling-uncertainty-deep-dive-into
  76. chen-2026-confidence-aware-alignment-makes-reasoning
  77. da-2019-jeff-da-coin-shared-task
  78. djenovic-2026-development-serbian-qa-datasets-through
  79. do-2023-machine-reading-comprehension-vietnamese-customer
  80. dong-2025-maximum-score-routing-mixture-experts
  81. elshabrawy-2025-enabling-natural-zero-shot-prompting
  82. farajidizaji-2026-task-competence-instruction-following-evaluating
  83. feng-2024-long-sequence-modeling-attention-tensorization
  84. feng-2025-dive-into-moe-diversity-enhanced
  85. fernando-2025-linguistic-entity-masking-improve-cross
  86. gao-2025-bypass-back-propagation-optimization-based
  87. glavas-2026-intra-prompt-parallel-decoding-common
  88. goncalves-2026-luxdiagrc-diagnostic-reading-comprehension-corpus
  89. grimm-2021-biquad-qa-based-deeper-text
  90. groeneveld-2023-catwalk-unified-language-model-evaluation
  91. hai-2022-learning-invariant-representation-improves-robustness
  92. han-2024-self-adaptive-sampling-accurate-video
  93. hanyu-2021-chinese-machine-reading-comprehension-dataset
  94. hong-2026-gmoe-global-mixture-experts-logit
  95. horton-2025-hamming-attention-distillation-binarizing-keys
  96. hourri-2025-patch-learnable-tile-level-hybrid
  97. hu-2025-yulan-mini-pushing-limits-open
  98. huang-2023-statistically-profiling-biases-natural-language
  99. huang-2025-do-robot-snakes-dream-like
  100. hwang-2026-can-llms-estimate-cognitive-complexity

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