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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

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  1. Full-Duplex-Bench-v2: A Multi-Turn Evaluation Framework for Duplex Dialogue Systems with an Automated Examiner — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  2. The Validity of Coreference-based Evaluations of Natural Language Understanding — 2026 · arXiv:2602.16200
  3. 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)
  4. 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
  5. Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. 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)
  7. Glider: Global and Local Instruction-Driven Expert Router — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  8. QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  9. 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)
  10. SMARTMiner: Extracting and Evaluating SMART Goals from Low-Resource Health Coaching Notes — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  11. 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)
  12. Unlocking Speech Instruction Data Potential with Query Rewriting — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  13. Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model — 2024 · arXiv:2402.07827
  14. 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
  15. ChatQA: Surpassing GPT-4 on Conversational QA and RAG — 2024 · arXiv:2401.10225
  16. Continual Learning of Large Language Models: A Comprehensive Survey — 2024 · arXiv:2404.16789
  17. 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
  18. KTRL+F: Knowledge-Augmented In-Document Search — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  19. 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)
  20. 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)
  21. 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
  22. Paraphrasing in Affirmative Terms Improves Negation Understanding — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  23. What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  24. 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)
  25. Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  26. 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)
  27. Complex Reasoning in Natural Language — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 6: Tutorial Abstracts)
  28. Domain Incremental Lifelong Learning in an Open World — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  29. 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
  30. 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)
  31. 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)
  32. 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)
  33. Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  34. Few-shot Unified Question Answering: Tuning Models or Prompts? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  35. 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)
  36. How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  37. Instructive Dialogue Summarization with Query Aggregations — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  38. 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)
  39. 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)
  40. Pre-Training to Learn in Context — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  41. Prompting with Pseudo-Code Instructions — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  42. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  43. ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  44. CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  45. CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  46. Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  47. CommonsenseQA 2.0: Exposing the Limits of AI through Gamification — 2022 · arXiv:2201.05320
  48. ConTinTin: Continual Learning from Task Instructions — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  49. 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)
  50. Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  51. Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  52. 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
  53. Galactica: A Large Language Model for Science — 2022 · arXiv:2211.09085
  54. 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
  55. Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  56. Machine Reading, Fast and Slow: When Do Models ``Understand'''' Language? — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  57. MixQG: Neural Question Generation with Mixed Answer Types — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  58. 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
  59. On Measuring Social Biases in Prompt-Based Multi-Task Learning — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  60. Polyglot Prompt: Multilingual Multitask Prompt Training — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  61. 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
  62. Prompt Tuning for Discriminative Pre-trained Language Models — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  63. Reasoning Like Program Executors — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  64. Reframing Instructional Prompts to GPTk's Language — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  65. Retrieval-guided Counterfactual Generation for QA — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  66. Tracing Origins: Coreference-aware Machine Reading Comprehension — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  67. UKP-SQUARE: An Online Platform for Question Answering Research — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
  68. 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
  69. 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
  70. 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)
  71. 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)
  72. Coreference-Aware Dialogue Summarization — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  73. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP — 2021 · arXiv:2104.08835
  74. Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  75. 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)
  76. How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering — 2021
  77. 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
  78. 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
  79. Learning with Instance Bundles for Reading Comprehension — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  80. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  81. Multitask Prompted Training Enables Zero-Shot Task Generalization — 2021 · arXiv:2110.08207
  82. 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)
  83. 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
  84. Understanding Mention Detector-Linker Interaction in Neural Coreference Resolution — 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference
  85. 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)
  86. What to Pre-Train on? Efficient Intermediate Task Selection — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  87. Why Machine Reading Comprehension Models Learn Shortcuts? — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  88. A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  89. A Simple and Effective Model for Answering Multi-span Questions — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  90. Active Learning for Coreference Resolution using Discrete Annotation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  91. Answer Span Correction in Machine Reading Comprehension — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  92. Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension — 2020
  93. Benefits of Intermediate Annotations in Reading Comprehension — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  94. CorefQA: Coreference Resolution as Query-based Span Prediction — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  95. Coreferential Reasoning Learning for Language Representation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  96. Dynamic Sampling Strategies for Multi-Task Reading Comprehension — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  97. Evaluating Models' Local Decision Boundaries via Contrast Sets — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  98. IIRC: A Dataset of Incomplete Information Reading Comprehension Questions — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  99. Incremental Neural Coreference Resolution in Constant Memory — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  100. Learning from Task Descriptions — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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