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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

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  1. BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. 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)
  3. Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning — 2026 · arXiv:2604.12374
  4. Development of Numerical Error Detection Tasks to Analyze the Numerical Capabilities of Language Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  5. FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  6. MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  7. NarratEX Dataset: Explaining the Dominant Narratives in News Texts — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  8. SCOP: Evaluating the Comprehension Process of Large Language Models from a Cognitive View — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  9. Sub-1B Language Models for Low-Resource Languages: Training Strategies and Insights for Basque — 2025 · Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025)
  10. WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain — 2025 · Proceedings of the Fourth Workshop on NLP for Positive Impact (NLP4PI)
  11. 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)
  12. 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)
  13. \textit D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  14. An Information-Theoretic Approach to Analyze NLP Classification Tasks — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  15. Are self-explanations from Large Language Models faithful? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  16. Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension — 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
  17. Context-Aware Question Answering in Urdu — 2024 · Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)
  18. 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
  19. Instruction Pre-Training: Language Models are Supervised Multitask Learners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  20. Interpreting Themes from Educational Stories — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  21. 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)
  22. Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  23. Paraphrasing in Affirmative Terms Improves Negation Understanding — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  24. Qsnail: A Questionnaire Dataset for Sequential Question Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  25. Story-Yarn : An Interactive Story Building Application — 2024 · Proceedings of the 21st International Conference on Natural Language Processing (ICON)
  26. 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)
  27. 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)
  28. An Overview Of Temporal Commonsense Reasoning and Acquisition — 2023 · arXiv:2308.00002
  29. Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  30. DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI — 2023 · arXiv:2307.10172
  31. 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)
  32. Diversity Enhanced Narrative Question Generation for Storybooks — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  33. Domain Incremental Lifelong Learning in an Open World — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  34. Explicit Alignment and Many-to-many Entailment Based Reasoning for Conversational Machine Reading — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  35. Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. Few-shot Unified Question Answering: Tuning Models or Prompts? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  37. Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  38. 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
  39. KoRC: Knowledge Oriented Reading Comprehension Benchmark for Deep Text Understanding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  40. Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions — 2023 · arXiv:2308.11483
  41. 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)
  42. MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  43. Machine Reading Comprehension for Vietnamese Customer Reviews: Task, Corpus and Baseline Models — 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
  44. Machine Reading Comprehension using Case-based Reasoning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  45. PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  46. 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)
  47. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  48. 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
  49. Using contradictions improves question answering systems — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  50. A Corpus for Commonsense Inference in Story Cloze Test — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  51. Answer Quality Aware Aggregation for Extractive QA Crowdsourcing — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  52. Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  53. Atlas: Few-shot Learning with Retrieval Augmented Language Models — 2022 · arXiv:2208.03299
  54. BehanceQA: A New Dataset for Identifying Question-Answer Pairs in Video Transcripts — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  55. 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
  56. DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  57. 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)
  58. 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)
  59. HRCA+: Advanced Multiple-choice Machine Reading Comprehension Method — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  60. Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  61. 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)
  62. MixQG: Neural Question Generation with Mixed Answer Types — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  63. NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  64. Narrative Datasets through the Lenses of NLP and HCI — 2022 · Proceedings of the Second Workshop on Bridging Human–Computer Interaction and Natural Language Processing
  65. Narrative Why-Question Answering: A Review of Challenges and Datasets — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  66. Polyglot Prompt: Multilingual Multitask Prompt Training — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  67. 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
  68. 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
  69. RealTime QA: What''s the Answer Right Now? — 2022 · arXiv:2207.13332
  70. 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
  71. What Makes Reading Comprehension Questions Difficult? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  72. 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
  73. Zero-shot cross-lingual open domain question answering — 2022 · Proceedings of the Workshop on Multilingual Information Access (MIA)
  74. 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
  75. Can NLI Models Verify QA Systems' Predictions? — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  76. Controlling Text Edition by Changing Answers of Specific Questions — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  77. DocNLI: A Large-scale Dataset for Document-level Natural Language Inference — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  78. 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
  79. English Machine Reading Comprehension Datasets: A Survey — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  80. Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  81. GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  82. How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering — 2021
  83. Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  84. Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction — 2021 · arXiv:2104.00563
  85. Learning from Limited Labels for Long Legal Dialogue — 2021 · Proceedings of the Natural Legal Language Processing Workshop 2021
  86. 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
  87. Memory-efficient Transformers via Top-k Attention — 2021 · Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing
  88. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  89. Model Agnostic Answer Reranking System for Adversarial Question Answering — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
  90. Multi-Strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
  91. 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)
  92. PROST: Physical Reasoning about Objects through Space and Time — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  93. ParsiNLU: A Suite of Language Understanding Challenges for Persian — 2021 · Transactions of the Association for Computational Linguistics
  94. 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
  95. Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
  96. Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  97. Unsupervised Multiple Choices Question Answering: Start Learning from Basic Knowledge — 2021 · Proceedings of the 3rd Workshop on Machine Reading for Question Answering
  98. 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)
  99. Velocidapter: Task-oriented Dialogue Comprehension Modeling Pairing Synthetic Text Generation with Domain Adaptation — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  100. Winnowing Knowledge for Multi-choice Question Answering — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021

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