Belinda Z. Li
Belinda Z. Li has 2 papers in our library, in 2020–2023, most of them on Coreference resolution, Language models & pretraining, Knowledge graphs & ontologies; often with Evan Hernandez, Gabriel Stanovsky, Jacob Andreas.
OpenAlex · ORCID · h-index 9 · 25 works · 1,173 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 301 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #7094
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 3Research subjects and languages the work is about.Coreference resolution · 1 workKnowledge graphs & ontologies · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Inspecting and Editing Knowledge Representations in Language Models (2023 · 115 citations)
Language models store facts about entities, both from pretraining and from the prompt, but these internal facts can be wrong or can override what the context says. - Active Learning for Coreference Resolution using Discrete Annotation (2020 · 36 citations)
Labeling coreference exhaustively is costly, because annotators must follow entity chains across long texts.
All works
- Implicit Representations of Meaning in Neural Language Models ↗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) · no summary yetBelinda Z. Li, Maxwell Nye, Jacob Andreas2021 · 175 citations
- Efficient One-Pass End-to-End Entity Linking for Questions ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetBelinda Z. Li et al.2020 · 172 citations
- Inspecting and Editing Knowledge Representations in Language ModelsarXiv:2304.00740Evan Hernandez, Belinda Z. Li, Jacob Andreas2023 · 115 citations
- Active Learning for Coreference Resolution using Discrete AnnotationAnnual Meeting of the Association for Computational Linguistics (ACL)Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer2020 · 36 citations
- Quantifying Adaptability in Pre-trained Language Models with 500 Tasks ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetBelinda Li et al.2022 · 15 citations
- Bayesian Preference Elicitation with Language Models ↗arXiv:2403.05534 · no summary yetKunal Handa et al.2024 · 8 citations
- Training Language Models to Explain Their Own Computations ↗arXiv (Cornell University) · no summary yetBelinda Z. Li et al.2025 · 7 citations
- Language Modeling with Editable External Knowledge ↗Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yetBelinda Z. Li et al.2025 · 4 citations
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2020
- Findings of the Association for Computational Linguistics: NAACL 2025
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- 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)
Cited by
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