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home / docs / papers / cited-by / Who cites «Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning»

Who cites «Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning»

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

Pages: 1 · 2

  1. The Validity of Coreference-based Evaluations of Natural Language Understanding — 2026 · arXiv:2602.16200
  2. Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  4. From Ambiguity to Accuracy: The Transformative Effect of Coreference Resolution on Retrieval-Augmented Generation systems — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  5. SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  6. Unlocking Speech Instruction Data Potential with Query Rewriting — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  7. Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model — 2024 · arXiv:2402.07827
  8. Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  9. Continual Learning of Large Language Models: A Comprehensive Survey — 2024 · arXiv:2404.16789
  10. Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  11. Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  12. Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. Multi-Task Learning with Adapters for Plausibility Prediction: Bridging the Gap or Falling into the Trenches? — 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP
  14. Paraphrasing in Affirmative Terms Improves Negation Understanding — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  15. Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  16. Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  17. Best-k Search Algorithm for Neural Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  18. Complex Reasoning in Natural Language — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 6: Tutorial Abstracts)
  19. Domain Incremental Lifelong Learning in an Open World — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  20. Don''t Blame the Annotator: Bias Already Starts in the Annotation Instructions — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  21. Dual Cache for Long Document Neural Coreference Resolution — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. Ellipsis-Dependent Reasoning: a New Challenge for Large Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  23. FERMAT: An Alternative to Accuracy for Numerical Reasoning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  24. Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  25. FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  26. How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  27. Instructive Dialogue Summarization with Query Aggregations — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  28. Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. 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)
  30. Pre-Training to Learn in Context — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. Prompting with Pseudo-Code Instructions — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  32. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  33. ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  34. CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  35. CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  36. CommonsenseQA 2.0: Exposing the Limits of AI through Gamification — 2022 · arXiv:2201.05320
  37. ConTinTin: Continual Learning from Task Instructions — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  38. Cross-Task Generalization via Natural Language Crowdsourcing Instructions — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  39. Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  40. F-coref: Fast, Accurate and Easy to Use Coreference Resolution — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations
  41. Galactica: A Large Language Model for Science — 2022 · arXiv:2211.09085
  42. Improving In-Context Few-Shot Learning via Self-Supervised Training — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  43. Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  44. Machine Reading, Fast and Slow: When Do Models ``Understand'''' Language? — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  45. MixQG: Neural Question Generation with Mixed Answer Types — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  46. MultiSpanQA: A Dataset for Multi-Span Question Answering — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  47. On Measuring Social Biases in Prompt-Based Multi-Task Learning — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  48. Polyglot Prompt: Multilingual Multitask Prompt Training — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  49. 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
  50. Prompt Tuning for Discriminative Pre-trained Language Models — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  51. Reasoning Like Program Executors — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  52. Reframing Instructional Prompts to GPTk's Language — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  53. Retrieval-guided Counterfactual Generation for QA — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  54. Tracing Origins: Coreference-aware Machine Reading Comprehension — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  55. UKP-SQUARE: An Online Platform for Question Answering Research — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
  56. A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  57. 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
  58. Comparing Test Sets with Item Response Theory — 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)
  59. Coreference Reasoning in Machine Reading Comprehension — 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)
  60. Coreference-Aware Dialogue Summarization — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  61. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP — 2021 · arXiv:2104.08835
  62. Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  63. Few-Shot Question Answering by Pretraining Span Selection — 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. How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering — 2021
  65. Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop
  66. Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  67. Learning with Instance Bundles for Reading Comprehension — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  68. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  69. Multitask Prompted Training Enables Zero-Shot Task Generalization — 2021 · arXiv:2110.08207
  70. 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)
  71. SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning — our card · 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  72. Understanding Mention Detector-Linker Interaction in Neural Coreference Resolution — 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference
  73. Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction — 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)
  74. What to Pre-Train on? Efficient Intermediate Task Selection — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  75. Why Machine Reading Comprehension Models Learn Shortcuts? — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  76. A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  77. A Simple and Effective Model for Answering Multi-span Questions — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  78. Active Learning for Coreference Resolution using Discrete Annotation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  79. Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension — 2020
  80. Benefits of Intermediate Annotations in Reading Comprehension — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  81. CorefQA: Coreference Resolution as Query-based Span Prediction — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  82. Coreferential Reasoning Learning for Language Representation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  83. Dynamic Sampling Strategies for Multi-Task Reading Comprehension — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  84. Evaluating Models' Local Decision Boundaries via Contrast Sets — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  85. IIRC: A Dataset of Incomplete Information Reading Comprehension Questions — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  86. Incremental Neural Coreference Resolution in Constant Memory — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  87. Learning from Task Descriptions — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  88. 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)
  89. Overestimation of Syntactic Representation in Neural Language Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  90. 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)
  91. To Test Machine Comprehension, Start by Defining Comprehension — 2020 · arXiv:2005.01525
  92. UNIFIEDQA: Crossing Format Boundaries with a Single QA System — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  93. Comprehensive Multi-Dataset Evaluation of Reading Comprehension — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  94. On Making Reading Comprehension More Comprehensive — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  95. bansal-2023-few-shot-unified-question-answering
  96. bojic-2025-smartminer-extracting-evaluating-smart-goals
  97. choudhury-2022-can-edge-probing-tests-reveal
  98. elazar-2020-extraordinary-failure-complement-coercion-crowdsourcing
  99. li-2025-glider-global-local-instruction-driven
  100. lin-2026-full-duplex-bench-v2-multi

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