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home / docs / papers / cited-by / Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 5

Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 5

600 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

  1. Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  2. Learning from Task Descriptions — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  3. LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning — 2020 · arXiv:2007.08124
  4. Low-Resource Generation of Multi-hop Reasoning Questions — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  5. 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)
  6. Machine Reasoning: Technology, Dilemma and Future — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
  7. Methods for Numeracy-Preserving Word Embeddings — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  8. MuTual: A Dataset for Multi-Turn Dialogue Reasoning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  9. Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  10. Obtaining Faithful Interpretations from Compositional Neural Networks — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  11. Overestimation of Syntactic Representation in Neural Language Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  12. Question Directed Graph Attention Network for Numerical Reasoning over Text — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  13. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning — 2020 · arXiv:2002.04326
  14. Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  15. TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  16. TaPas: Weakly Supervised Table Parsing via Pre-training — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  17. Teaching Machine Comprehension with Compositional Explanations — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  18. To Test Machine Comprehension, Start by Defining Comprehension — 2020 · arXiv:2005.01525
  19. ToTTo: A Controlled Table-To-Text Generation Dataset — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  20. Training Question Answering Models From Synthetic Data — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  21. UNIFIEDQA: Crossing Format Boundaries with a Single QA System — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  22. Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  23. What Question Answering can Learn from Trivia Nerds — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  24. What-if I ask you to explain: Explaining the effects of perturbations in procedural text — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  25. A Discrete Hard EM Approach for Weakly Supervised 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)
  26. A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete 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)
  27. AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models — 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): System Demonstrations
  28. An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  29. 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)
  30. Can You Unpack That? Learning to Rewrite Questions-in-Context — 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)
  31. Comprehensive Multi-Dataset Evaluation of Reading Comprehension — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  32. Do NLP Models Know Numbers? Probing Numeracy in Embeddings — 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)
  33. Domain-agnostic Question-Answering with Adversarial Training — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  34. EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference — our card · 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  35. Evaluating Question Answering Evaluation — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  36. Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension — 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)
  37. Let''s Ask Again: Refine Network for Automatic Question Generation — 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)
  38. Movie Plot Analysis via Turning Point Identification — 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)
  39. MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  40. 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)
  41. On Making Reading Comprehension More Comprehensive — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  42. QASC: A Dataset for Question Answering via Sentence Composition — 2019 · arXiv:1910.11473
  43. Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning — our card · 2019 · arXiv:1908.05803
  44. Reasoning Over Paragraph Effects in Situations — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  45. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172
  46. abootorabi-2026-almieyar-oryx-bloombench-bilingual-multimodal
  47. agrawal-2024-exmy-data-type-technique-arbitrary
  48. ahmed-2025-bennumeval-benchmark-assess-llms-numerical
  49. ahrabian-2025-systematic-analysis-base-model-choice
  50. amer-2026-flop-efficient-training-early-stopping
  51. arunkumar-2023-real-time-visual-feedback-guide
  52. bai-2025-ramqa-unified-framework-retrieval-augmented
  53. balepur-2026-benchmarker-education-inspired-toolkit-highlighting
  54. bansal-2023-few-shot-unified-question-answering
  55. bojic-2025-smartminer-extracting-evaluating-smart-goals
  56. bottman-2026-operadic-consistency-label-free-signal
  57. bruyn-2022-20q-overlap-free-world-knowledge
  58. bui-2025-vmlu-benchmarks-comprehensive-benchmark-toolkit
  59. burg-2025-aligning-black-box-language-models
  60. byun-2025-textit-d-gen-automatic-distractor
  61. chegini-2026-reasoning-s-razor-reasoning-improves
  62. chen-2022-teaching-neural-module-networks-do
  63. chen-2024-s3prompt-instructing-model-self-calibration
  64. chen-2026-agentslimming-efficient-cost-aware-multi
  65. chen-2026-relevance-sufficient-evidence-detecting-evidence
  66. chen-2026-rethinking-evaluation-llm-hallucination-detection
  67. chen-2026-sempa-improving-sentence-embeddings-large
  68. chinnappa-2020-wikipossessions-possession-timeline-generation-as
  69. cho-2026-generalizing-numerical-reasoning-table-data
  70. chow-2023-travlr-now-you-see-it
  71. chu-2024-navigate-through-enigmatic-labyrinth-survey
  72. chu-2025-enhancing-numerical-reasoning-vietnamese-financial
  73. contalbo-2025-gri-qa-comprehensive-benchmark-table
  74. demir-2026-timeres-turkish-benchmark-evaluating-temporal
  75. ding-2025-sulora-subspace-low-rank-adaptation
  76. dinu-2020-joint-translation-unit-conversion-end
  77. dong-2025-longred-mitigating-short-text-degradation
  78. du-2026-native-hybrid-attention-efficient-sequence
  79. dutta-2026-carve-content-aware-recurrent-value
  80. el-2025-inefficiencies-meta-agents-agent-design
  81. fang-2025-patch-psychometrics-assisted-benchmarking-large
  82. faure-2025-moviecore-cognitive-reasoning-movies
  83. feng-2025-dive-into-moe-diversity-enhanced
  84. fu-2025-model-merging-knowledge-editing
  85. geng-2025-great-memory-shallow-reasoning-limits
  86. ghiasvand-2025-decentralized-low-rank-fine-tuning
  87. ghosal-2023-retag-reasoning-aware-table-analytic
  88. gill-2025-what-has-been-lost-synthetic
  89. gonzalez-2024-numdecoders-semeval-2024-task-7
  90. grimm-2021-biquad-qa-based-deeper-text
  91. groeneveld-2023-catwalk-unified-language-model-evaluation
  92. guo-2020-understanding-unnatural-questions-improves-reasoning
  93. guo-2021-improving-numerical-reasoning-skills-modular
  94. guo-2026-beyond-facts-benchmarking-distributional-reading
  95. ha-2025-graph-based-agent-approach-numerical
  96. hashimoto-2024-mlt-dr-multi-lingual-task
  97. he-2025-esgenius-benchmarking-llms-environmental-social
  98. he-2026-knowledge-distillation-during-mid-training
  99. ho-2022-how-well-do-multi-hop
  100. ho-2026-reassessing-extractive-qa-datasets-scale

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