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Who cites «MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text»

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

Pages: 1 · 2 · 3

  1. Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World Modeling — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  2. Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning — 2026 · arXiv:2604.12374
  3. MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  4. NarratEX Dataset: Explaining the Dominant Narratives in News Texts — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  5. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. Are self-explanations from Large Language Models faithful? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  8. Context-Aware Question Answering in Urdu — 2024 · Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)
  9. Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  10. Instruction Pre-Training: Language Models are Supervised Multitask Learners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  11. LFED: A Literary Fiction Evaluation Dataset for Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  12. Paraphrasing in Affirmative Terms Improves Negation Understanding — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  13. TIGQA: An Expert-Annotated Question-Answering Dataset in Tigrinya — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  14. 大语言模型故事理解能力评价数据集(Benchmarking story comprehension ability of large language model) — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  15. An Overview Of Temporal Commonsense Reasoning and Acquisition — 2023 · arXiv:2308.00002
  16. Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  17. DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI — 2023 · arXiv:2307.10172
  18. Difficulty-Controllable Neural Question Generation for Reading Comprehension using Item Response Theory — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
  19. Domain Incremental Lifelong Learning in an Open World — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  20. Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  21. Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  22. Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Tasks — 2023 · Journal for Language Technology and Computational Linguistics, Vol. 36 No. 2
  23. KoRC: Knowledge Oriented Reading Comprehension Benchmark for Deep Text Understanding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  24. Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions — 2023 · arXiv:2308.11483
  25. Long-Tailed Question Answering in an Open World — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  26. MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  27. Personality Understanding of Fictional Characters during Book Reading — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  29. The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants — 2023 · arXiv:2308.16884 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics 749-775 2024
  30. Using contradictions improves question answering systems — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  31. Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  32. Atlas: Few-shot Learning with Retrieval Augmented Language Models — 2022 · arXiv:2208.03299
  33. DTW at Qur''an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domain — 2022 · Proceedinsg of the 5th Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection
  34. DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  35. Feeding What You Need by Understanding What You Learned — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain — 2022 · Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI)
  37. Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  38. MixQG: Neural Question Generation with Mixed Answer Types — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  39. NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  40. Narrative Datasets through the Lenses of NLP and HCI — 2022 · Proceedings of the Second Workshop on Bridging Human–Computer Interaction and Natural Language Processing
  41. Narrative Why-Question Answering: A Review of Challenges and Datasets — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  42. Polyglot Prompt: Multilingual Multitask Prompt Training — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  43. ProQA: Structural Prompt-based Pre-training for Unified Question Answering — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  44. QuALITY: Question Answering with Long Input Texts, Yes! — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  45. RealTime QA: What''s the Answer Right Now? — 2022 · arXiv:2207.13332
  46. TVShowGuess: Character Comprehension in Stories as Speaker Guessing — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  47. What Makes Reading Comprehension Questions Difficult? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  49. Zero-shot cross-lingual open domain question answering — 2022 · Proceedings of the Workshop on Multilingual Information Access (MIA)
  50. Benchmarking Machine Reading Comprehension: A Psychological Perspective — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  51. Can NLI Models Verify QA Systems' Predictions? — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  52. Controlling Text Edition by Changing Answers of Specific Questions — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  53. DocNLI: A Large-scale Dataset for Document-level Natural Language Inference — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  54. Does Structure Matter? Encoding Documents for Machine Reading Comprehension — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  55. English Machine Reading Comprehension Datasets: A Survey — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  56. Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  57. GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  58. How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering — 2021
  59. Learning from Limited Labels for Long Legal Dialogue — 2021 · Proceedings of the Natural Legal Language Processing Workshop 2021
  60. MIMOQA: Multimodal Input Multimodal Output Question Answering — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  61. Memory-efficient Transformers via Top-k Attention — 2021 · Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing
  62. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  63. On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  64. PROST: Physical Reasoning about Objects through Space and Time — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  65. ParsiNLU: A Suite of Language Understanding Challenges for Persian — 2021 · Transactions of the Association for Computational Linguistics
  66. Sorting through the noise: Testing robustness of information processing in pre-trained language models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  67. Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  68. Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  69. Winnowing Knowledge for Multi-choice Question Answering — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  70. A Frame-based Sentence Representation for Machine Reading Comprehension — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  71. A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  72. A Vietnamese Dataset for Evaluating Machine Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  73. Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension — 2020
  74. Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access — 2020 · Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue
  75. FQuAD: French Question Answering Dataset — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  76. Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  77. LifeQA: A Real-life Dataset for Video Question Answering — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  78. Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  79. LiveQA: A Question Answering Dataset over Sports Live — 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics
  80. LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning — 2020 · arXiv:2007.08124
  81. MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  82. Measuring Massive Multitask Language Understanding — 2020 · arXiv:2009.03300
  83. Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  84. Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  85. NUT-RC: Noisy User-generated Text-oriented Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  86. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning — 2020 · arXiv:2002.04326
  87. STARC: Structured Annotations for Reading Comprehension — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  88. Scene Restoring for Narrative Machine Reading Comprehension — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  89. ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  90. To Test Machine Comprehension, Start by Defining Comprehension — 2020 · arXiv:2005.01525
  91. UNIFIEDQA: Crossing Format Boundaries with a Single QA System — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  92. Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  93. 基于神经网络的机器阅读理解综述 — 2020 · 软件学报 (Journal of Software)
  94. A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC — 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)
  95. Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets — 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)
  96. Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives — 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)
  97. Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets — 2019 · arXiv:1911.09241
  98. BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis — 2019 · arXiv:1904.02232
  99. Beyond English-Only Reading Comprehension: Experiments in Zero-shot Multilingual Transfer for Bulgarian — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
  100. CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text — 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)

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