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Who cites «Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns»

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

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  1. Bias Dynamics in BabyLMs: Towards a Compute-Efficient Sandbox for Democratising Pre-Training Debiasing — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  2. Gender Bias in MT for a Genderless Language: New Benchmarks for Basque — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  3. Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only Architectures — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  4. Not All Disneys Are the Same: Making Coreference Metonymy-Aware — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  5. The Validity of Coreference-based Evaluations of Natural Language Understanding — 2026 · arXiv:2602.16200
  6. Training in Step-by-Step Formal Reasoning Improves Pronominal Reasoning in Language Models — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
  7. Bridge the GAP: Multi-lingual Models For Ambiguous Pronominal Coreference Resolution in South Asian Languages — 2025 · Proceedings of the First Workshop on Challenges in Processing South Asian Languages (CHiPSAL 2025)
  8. Detecting Linguistic Bias in Government Documents Using Large language Models — 2025 · arXiv:2502.13548
  9. Enhancing Coreference Resolution with LLM-driven Data Augmentation and Adversarial Filtering — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  10. HESEIA: A community-based dataset for evaluating social biases in large language models, co-designed in real school settings in Latin America — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  11. Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionals — 2025 · arXiv:2504.00860
  12. LLM Bias Detection and Mitigation through the Lens of Desired Distributions — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  13. LLMs on Trial: Evaluating Judicial Fairness for Large Language Models — 2025 · arXiv:2507.10852
  14. Large Language Models Still Exhibit Bias in Long Text — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  15. Multimodal Coreference Resolution for Chinese Social Media Dialogues: Dataset and Benchmark Approach — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  16. On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs — 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)
  17. Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge — 2025 · arXiv:2506.12574
  18. Towards Region-aware Bias Evaluation Metrics — 2025 · Proceedings of the 3rd Workshop on Cross-Cultural Considerations in NLP (C3NLP 2025)
  19. A Controlled Reevaluation of Coreference Resolution Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  20. A Luxembourgish Corpus as a Gender Bias Evaluation Testset — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  21. Bias in Large Language Models: Origin, Evaluation, and Mitigation — 2024 · arXiv:2411.10915
  22. 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
  23. Curation of Benchmark Templates for Measuring Gender Bias in Named Entity Recognition Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  24. Do PLMs and Annotators Share the Same Gender Bias? Definition, Dataset, and Framework of Contextualized Gender Bias — 2024 · Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
  25. DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  26. La recherche sur les biais dans les modèles de langue est biaisée : état de l''art en abyme [Bias Research for Language Models is Biased: a Survey for Deconstructing Bias in Large Language Models] — 2024
  27. MAGPIE: Multi-Task Analysis of Media-Bias Generalization with Pre-Trained Identification of Expressions — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  28. 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)
  29. Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased? — 2024
  30. Solving the Challenge Set without Solving the Task: On Winograd Schemas as a Test of Pronominal Coreference Resolution — 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning
  31. The ARRAU 3.0 Corpus — 2024 · Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)
  32. Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  33. Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary Pronouns — 2024 · arXiv:2405.00134
  34. Universal Anaphora: The First Three Years — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  35. AI Alignment: A Comprehensive Survey — 2023 · arXiv:2310.19852
  36. Bias and Fairness in Large Language Models: A Survey — 2023 · arXiv:2309.00770
  37. Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  38. Ensemble Transfer Learning for Multilingual Coreference Resolution — 2023 · Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)
  39. Evaluating Large Language Models: A Comprehensive Survey — 2023 · arXiv:2310.19736
  40. GPT-4 Technical Report — 2023 · arXiv:2303.08774
  41. Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  42. Information Extraction and Program Synthesis from Goal-Oriented Dialogue — 2023 · Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems
  43. LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution — our card · 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  44. McGill at CRAC 2023: Multilingual Generalization of Entity-Ranking Coreference Resolution Models — 2023 · Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution
  45. Measuring Gender Bias in Natural Language Processing: Incorporating Gender-Neutral Linguistic Forms for Non-Binary Gender Identities in Abusive Speech Detection — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
  46. Measuring Gender Bias in West Slavic Language Models — 2023 · Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023 (SlavicNLP 2023)
  47. Prompting with Pseudo-Code Instructions — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  48. RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution — 2023 · arXiv:2309.04977 · 2023 International Joint Conference on Neural Networks (IJCNN)
  49. Scoring Coreference Chains with Split-Antecedent Anaphors — our card · 2023
  50. Sociodemographic Bias in Language Models: A Survey and Forward Path — 2023 · arXiv:2306.08158
  51. The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  52. The pragmatics of characters' mental perspectives in pronominal reference resolution — 2023 · Proceedings of the Sixth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC 2023)
  53. What social attitudes about gender does BERT encode? Leveraging insights from psycholinguistics — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  54. With Prejudice to None: A Few-Shot, Multilingual Transfer Learning Approach to Detect Social Bias in Low Resource Languages — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  55. ``Fifty Shades of Bias'''': Normative Ratings of Gender Bias in GPT Generated English Text — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  56. BBQ: A hand-built bias benchmark for question answering — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  57. Bias Identification and Attribution in NLP Models With Regression and Effect Sizes — 2022 · Northern European Journal of Language Technology
  58. Choose Your Lenses: Flaws in Gender Bias Evaluation — 2022 · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
  59. Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  60. 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
  61. Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  62. How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  63. How Gender Debiasing Affects Internal Model Representations, and Why It Matters — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  64. Incorporating Centering Theory into Neural Coreference Resolution — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  65. Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases — 2022 · Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion
  66. Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  67. NARC – Norwegian Anaphora Resolution Corpus — 2022 · Proceedings of the Fifth Workshop on Computational Models of Reference, Anaphora and Coreference
  68. On Measures of Biases and Harms in NLP — 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
  69. Quantifying Bias from Decoding Techniques in Natural Language Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  70. Sentence-Incremental Neural Coreference Resolution — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  71. The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue — our card · 2022 · Proceedings of the CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue
  72. The Universal Anaphora Scorer — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  73. Uncertainty and Inclusivity in Gender Bias Annotation: An Annotation Taxonomy and Annotated Datasets of British English Text — 2022 · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
  74. Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  75. A Hybrid Rule-Based and Neural Coreference Resolution System with an Evaluation on Dutch Literature — 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference
  76. Adapting Coreference Resolution for Processing Violent Death Narratives — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  77. Anatomy of OntoGUM–-Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms — our card · 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference
  78. Annotation and Evaluation of Coreference Resolution in Screenplays — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  79. Assessing Gender Bias in Wikipedia: Inequalities in Article Titles — 2021 · Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing
  80. Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  81. Coreference Resolution without Span Representations — 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)
  82. Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages — our card · 2021 · ÚFAL Technical Report TR-2021-66 (ISSN 1214-5521)
  83. Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  84. Modeling Coreference Relations in Visual Dialog — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  85. Moving on from OntoNotes: Coreference Resolution Model Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  86. OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  87. On Generalization in Coreference Resolution — our card · 2021 · Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference
  88. OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres — 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)
  89. Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics — 2021 · Transactions of the Association for Computational Linguistics
  90. Stay Together: A System for Single and Split-antecedent Anaphora Resolution — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  91. Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  92. Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  93. The Swedish Winogender Dataset — 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
  94. They, Them, Theirs: Rewriting with Gender-Neutral English — 2021 · arXiv:2102.06788
  95. Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  96. Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle* — 2021
  97. Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  98. 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)
  99. gENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena — 2021 · Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing
  100. 中文句子级性别无偏数据集构建及预训练语言模型的性别偏度评估(Construction of Chinese Sentence-Level Gender-Unbiased Data Set and Evaluation of Gender Bias in Pre-Training Language) — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics

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