--- title: "Who cites A Better Way to Do Masked Language Model Scoring" description: "34 papers of the Elamur Research library cite «A Better Way to Do Masked Language Model Scoring», found in their bibliographies; the most…" canonical: "https://research.elamur.ai/free/en/papers/kauf-2023-better-way-do-masked-language/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/kauf-2023-better-way-do-masked-language/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Better Way to Do Masked Language Model Scoring](https://md.research.elamur.ai/free/en/papers/kauf-2023-better-way-do-masked-language/) / cited by # Who cites «A Better Way to Do Masked Language Model Scoring» 34 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «A Better Way to Do Masked Language Model Scoring»](https://md.research.elamur.ai/free/en/papers/kauf-2023-better-way-do-masked-language/) 1. [**Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models arXiv:2403.14859**Carina Kauf, Emmanuele Chersoni, Alessandro Lenci, et al.*2024 · 29 citations*](https://md.research.elamur.ai/free/en/papers/kauf-2024-log-probabilities-reliable-estimate-semantic/) 2. **[TurBLiMP: A Turkish Benchmark of Linguistic Minimal Pairs](https://md.research.elamur.ai/free/en/papers/basar-2025-turblimp-turkish-benchmark-linguistic-minimal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ezgi Başar, Francesca Padovani, Jaap Jumelet, et al.*2025 · 14 citations* 3. **[Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models](https://md.research.elamur.ai/free/en/papers/padovani-2025-child-directed-language-does-not/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.*2025 · 9 citations* 4. **[Minimal Pair-Based Evaluation of Code-Switching](https://md.research.elamur.ai/free/en/papers/sterner-2025-minimal-pair-based-evaluation-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Igor Sterner, Simone Teufel*2025 · 6 citations* 5. **[Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models](https://md.research.elamur.ai/free/en/papers/askari-2025-are-babylms-deaf-gricean-maxims/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Raha Askari, Sina Zarrieß, Özge Alacam, et al.*2025 · 4 citations* 6. **[Multilingual Nonce Dependency Treebanks: Understanding how Language Models Represent and Process Syntactic Structure](https://md.research.elamur.ai/free/en/papers/arps-2024-multilingual-nonce-dependency-treebanks-understanding/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Arps, Laura Kallmeyer, Younes Samih, et al.*2024 · 4 citations* 7. **[HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models](https://md.research.elamur.ai/free/en/papers/oepen-2026-hplt-3-0-very-large/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Stephan Oepen, Nikolay Arefyev, Mikko Aulamo, et al.*2026 · 1 citation* 8. **[Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions](https://md.research.elamur.ai/free/en/papers/scivetti-2026-language-models-learn-constructional-semantics/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.*2026 · 1 citation* 9. **[A Comparative Study of Multilingual Fine-tuning and Prompting for Automatic Text Readability Classification in Galician](https://md.research.elamur.ai/free/en/papers/rey-2026-comparative-study-multilingual-fine-tuning/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Sandra Rodríguez Rey, Marcos Garcia*2026* 10. **[Towards A Scanpath-Conditioned Surprisal Theory: Modeling Reader Information States](https://md.research.elamur.ai/free/en/papers/mooney-2026-scanpath-conditioned-surprisal-theory-modeling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michael Mooney, Edmond S. L. Ho*2026* 11. [**Assessing the Agreement Competence of Large Language Models**Alba Táboas García, Leo Wanner*2025*](https://md.research.elamur.ai/free/en/papers/garcia-2025-assessing-agreement-competence-large-language/) 23 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/kauf-2023-better-way-do-masked-language/) — A Better Way to Do Masked Language Model Scoring