Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution»

Who cites «Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution»

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

  1. Caged Birds and Cute Bookworms: Feminine Tropes and Implicit Gender Bias in Large Language Models — 2026 · Proceedings of the Workshop on Evaluating Evaluations (EvalEval)
  2. 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)
  3. 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
  4. 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)
  5. 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)
  6. Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased? — 2024
  7. Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary Pronouns — 2024 · arXiv:2405.00134
  8. Fairness in Language Models Beyond English: Gaps and Challenges — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  9. Gender-Inclusive Grammatical Error Correction through Augmentation — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
  10. 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)
  11. Scaling Instruction-Finetuned Language Models — 2022 · arXiv:2210.11416

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/baumler-2022-recognition-they-them-as-singular/