Who cites «Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution»
- Caged Birds and Cute Bookworms: Feminine Tropes and Implicit Gender Bias in Large Language Models — 2026 · Proceedings of the Workshop on Evaluating Evaluations (EvalEval)
- Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context — 2025 · Proceedings of the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
- Do language models practice what they preach? Examining language ideologies about gendered language reform encoded in LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- On the Mutual Influence of Gender and Occupation in LLM Representations — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased? — 2024
- Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary Pronouns — 2024 · arXiv:2405.00134
- Fairness in Language Models Beyond English: Gaps and Challenges — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- Gender-Inclusive Grammatical Error Correction through Augmentation — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
- 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)
- Scaling Instruction-Finetuned Language Models — 2022 · arXiv:2210.11416
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