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# Who cites «AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference»

11 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/yuan-2023-ambicoref-evaluating-human-model-sensitivity/)

1. [The Validity of Coreference-based Evaluations of Natural Language Understanding](https://arxiv.org/abs/2602.16200) *— 2026 · arXiv:2602.16200*
2. [Ambiguity and Disagreement in Abstract Meaning Representation](https://aclanthology.org/2025.comedi-1.14/) *— 2025 · Proceedings of Context and Meaning: Navigating Disagreements in NLP Annotation*
3. [Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs](https://aclanthology.org/2025.emnlp-main.1527/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
4. [Who Relies More on World Knowledge and Bias for Syntactic Ambiguity Resolution: Humans or LLMs?](https://aclanthology.org/2025.naacl-long.177/) *— 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)*
5. [Aligning Language Models to Explicitly Handle Ambiguity](https://aclanthology.org/2024.emnlp-main.119/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
6. [CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models](https://aclanthology.org/2024.acl-long.578/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs](https://arxiv.org/abs/2311.09469) *— 2023 · arXiv:2311.09469*
8. [We're Afraid Language Models Aren't Modeling Ambiguity](https://aclanthology.org/2023.emnlp-main.51/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
9. [Zero and Few-shot Semantic Parsing with Ambiguous Inputs](https://arxiv.org/abs/2306.00824) *— 2023 · arXiv:2306.00824*
10. schouten-2023-reasoning-about-ambiguous-definite-descriptions
11. wang-2025-identification-multiple-logical-interpretations-counter
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