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home / docs / papers / cited-by / Who cites «Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences» · page 3

Who cites «Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences» · page 3

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

Pages: 1 · 2 · 3

  1. MuTual: A Dataset for Multi-Turn Dialogue Reasoning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  2. Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  3. New Protocols and Negative Results for Textual Entailment Data Collection — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  4. PGL at TextGraphs 2020 Shared Task: Explanation Regeneration using Language and Graph Learning Methods — 2020 · Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs)
  5. Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  6. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning — 2020 · arXiv:2002.04326
  7. Read and Reason with MuSeRC and RuCoS: Datasets for Machine Reading Comprehension for Russian — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  8. RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  9. STARC: Structured Annotations for Reading Comprehension — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  10. To Test Machine Comprehension, Start by Defining Comprehension — 2020 · arXiv:2005.01525
  11. UNIFIEDQA: Crossing Format Boundaries with a Single QA System — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  12. Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  13. Which *BERT? A Survey Organizing Contextualized Encoders — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  14. Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  15. 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)
  16. Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  17. Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets — 2019 · arXiv:1911.09241
  18. DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension — 2019 · Transactions of the Association for Computational Linguistics
  19. DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs — our card · 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. Evidence Sentence Extraction for Machine Reading Comprehension — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  21. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer — 2019 · arXiv:1910.10683
  22. 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)
  23. 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
  24. Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension — 2019 · arXiv:1904.09679
  25. Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  26. QASC: A Dataset for Question Answering via Sentence Composition — 2019 · arXiv:1910.11473
  27. 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)
  28. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172
  29. 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)
  30. Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  31. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems — 2019 · arXiv:1905.00537
  32. Understanding Dataset Design Choices for Multi-hop Reasoning — 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)
  33. Using Natural Language Relations between Answer Choices for Machine Comprehension — 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)
  34. 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)
  35. ``Going on a vacation'''' takes longer than ``Going for a walk'''': A Study of Temporal Commonsense Understanding — 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)
  36. Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  37. 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)
  38. What Makes Reading Comprehension Questions Easier? — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  39. antoine-2024-linguistically-motivated-evaluation-methodology-unraveling
  40. belanec-2026-peft-bench-parameter-efficient-fine
  41. belanec-2026-peft-factory-unified-parameter-efficient
  42. belenki-2025-optimizing-pre-training-data-mixtures
  43. bhardwaj-2023-knn-cm-non-parametric-inference
  44. carlsson-2021-gandalf-general-character-name-description
  45. choudhury-2022-can-edge-probing-tests-reveal
  46. du-2023-make-your-decision-convincing-unified
  47. du-2024-care-clue-guided-assistant-csrs
  48. fei-2022-coarse-fine-hierarchical-multi-task
  49. feng-2023-learning-predict-task-transferability-soft
  50. gozzi-2025-bidirectional-emotional-influence-human-llm
  51. groeneveld-2023-catwalk-unified-language-model-evaluation
  52. ha-2023-two-examples-are-better-than
  53. hao-2026-bizcompass-benchmarking-reasoning-capabilities-llms
  54. hsia-2024-goodhart-s-law-applies-nlp
  55. huang-2023-learning-easily-updated-general-purpose
  56. javadi-2025-can-stories-help-llms-reason
  57. ju-2021-enhancing-multiple-choice-machine-reading
  58. jung-2024-is-prompt-transfer-always-effective
  59. khanmohammadi-2025-calibrating-llm-confidence-probing-perturbed
  60. kim-2025-first-attentions-last-better-exploiting
  61. l-2024-hire-high-recall-approximate-top
  62. lee-2023-bayesian-multi-task-transfer-learning
  63. li-2024-lorasc-expressive-generalizable-low-rank
  64. lin-2024-accept-adaptive-codebook-composite-efficient
  65. liu-2021-unsupervised-multiple-choices-question-answering
  66. liu-2024-hift-hierarchical-full-parameter-fine
  67. liu-2024-regmix-data-mixture-regression-language
  68. liu-2024-sparse-mezo-less-parameters-better
  69. liu-2024-universal-truthfulness-hyperplane-inside-llms
  70. liu-2026-chunkft-byte-streamed-optimization-memory
  71. mascarell-2024-which-information-matters-dissecting-human
  72. mi-2025-kerzoo-kernel-function-informed-zeroth
  73. negheimish-2021-discrete-reasoning-templates-natural-language
  74. nishida-2024-initialization-large-language-models-reparameterization
  75. pang-2023-sharpt-shared-latent-space-prompt
  76. peng-2025-muzo-leveraging-multiple-queries-momentum
  77. prabhakar-2024-kraken-inherently-parallel-transformers-efficient
  78. qin-2025-beyond-output-matching-bidirectional-alignment
  79. singh-2023-entity-tracking-effective-use-multi
  80. stevens-2021-investigation-language-model-interpretability-sentence
  81. sun-2025-loct-instruct-automatic-pipeline-constructing
  82. sun-2026-zocheck-cpu-shadow-checkpointing-zeroth
  83. tian-2021-shatter-efficient-transformer-encoder-single
  84. tu-2024-multi-mask-prefix-tuning-applying
  85. wang-2020-overview-sustainlp-2020-shared-task
  86. wang-2024-information-theoretic-approach-analyze-nlp
  87. wang-2025-mdpo-customized-direct-preference-optimization
  88. wynter-2020-optimal-subarchitecture-extraction-bert
  89. xiao-2025-scop-evaluating-comprehension-process-large
  90. xu-2025-unlocking-effectiveness-lora-fp-seamless
  91. yang-2025-position-really-matters-holistic-approach
  92. yu-2022-automatic-label-sequence-generation-prompting
  93. yu-2025-ssmlora-enhancing-low-rank-adaptation
  94. zeng-2024-bikt-enabling-bidirectional-knowledge-transfer
  95. zeng-2025-mept-mixture-expert-prompt-tuning
  96. zhang-2023-learning-ignore-adversarial-attacks
  97. zhang-2025-dynamic-task-vector-grouping-efficient
  98. zhang-2025-learning-select-context-demonstration-preferred
  99. zhao-2022-lite-unified-modeling-discriminative-reading

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