🔗 Who cites «minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models»

72 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models»

1. Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNsConference on Empirical Methods in Natural Language Processing (EMNLP)Kanishka Misra, Kyle Mahowald2024 · 55 citations
2. A Better Way to Do Masked Language Model ScoringAnnual Meeting of the Association for Computational Linguistics (ACL)Carina Kauf, Anna A. Ivanova2023 · 53 citations
3. Auxiliary task demands mask the capabilities of smaller language modelsarXiv:2404.02418Jennifer Hu, Michael C. Frank2024 · 41 citations
4. TurBLiMP: A Turkish Benchmark of Linguistic Minimal PairsConference on Empirical Methods in Natural Language Processing (EMNLP)Ezgi Başar, Francesca Padovani, Jaap Jumelet, et al.2025 · 14 citations
5. Do Construction Distributions Shape Formal Language Learning In German BabyLMs?Conference on Computational Natural Language Learning (CoNLL)Bastian Bunzeck, Daniel Duran, Sina Zarrieß2025 · 13 citations
6. Are Frequent Phrases Directly Retrieved like Idioms? An Investigation with Self-Paced Reading and Language ModelsWorkshop on Multiword Expressions (MWE)Giulia Rambelli, Emmanuele Chersoni, Marco S. G. Senaldi, et al.2023 · 11 citations
7. Child-Directed Language Does Not Consistently Boost Syntax Learning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.2025 · 9 citations
8. Language Models Fail to Introspect About Their Knowledge of LanguagearXiv:2503.07513Siyuan Song, Jennifer Hu, Kyle Mahowald2025 · 9 citations
9. We Understand Elliptical Sentences, and Language Models should Too: A New Dataset for Studying Ellipsis and its Interaction with Thematic FitDavide Testa, Emmanuele Chersoni, Alessandro Lenci2023 · 8 citations
10. Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language ModelsBabyLM WorkshopRaha Askari, Sina Zarrieß, Özge Alacam, et al.2025 · 4 citations
11. On Quick Kisses and How to Make Them Count: A Study on Event Construal in Light Verb Constructions with BERTBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPChenxin Liu, Emmanuele Chersoni2023 · 2 citations
12. Hey, wait a minute: on at-issue sensitivity in Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sanghee J. Kim, Kanishka Misra2026 · 1 citation
13. HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained ModelsLanguage Resources and Evaluation Conference (LREC)Stephan Oepen, Nikolay Arefyev, Mikko Aulamo, et al.2026 · 1 citation
14. A Comparative Study of Multilingual Fine-tuning and Prompting for Automatic Text Readability Classification in GalicianJoint Workshop on Readability and Text Simplification (READIxTSAR) @ LRECSandra Rodríguez Rey, Marcos Garcia2026
15. Bears, all bears, and some bears. Language Constraints on Language Models' Inductive InferencesFindings of the Association for Computational LinguisticsSriram Padmanabhan, Siyuan Song, Kanishka Misra2026
16. Reading Time in the Wild: An Assessment of Readability Predictors Based on Naturally-Observed Reading TimesLanguage Resources and Evaluation Conference (LREC)Sijbren van Vaals, Rik van Noord, Malvina Nissim2026
17. Assessing the Agreement Competence of Large Language ModelsAlba Táboas García, Leo Wanner2025
18. Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMsWilliam Sheffield, Kanishka Misra, Valentina Pyatkin, et al.2025

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