🧑‍🔬 Who cites Kristina Gulordava

398 citations of their works from 395 papers of our library (of the 140,884 whose bibliographies we read) · 57 with a page here, the most cited first · ← Kristina Gulordava

1. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,695 citations
2. Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language InferenceR. Thomas McCoy, Ellie Pavlick, Tal Linzen2019 · 1,630 citations
3. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,548 citations
4. Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be PrunedElena Voita, David Talbot, Fedor Moiseev, et al.2019 · 1,511 citations
5. Diachronic Word Embeddings Reveal Statistical Laws of Semantic ChangeWilliam L. Hamilton, Jure Leskovec, Dan Jurafsky2016 · 1,270 citations
6. A Structural Probe for Finding Syntax in Word RepresentationsJohn Hewitt, Christopher D. Manning2019 · 1,228 citations
7. A Survey of Data Augmentation Approaches for NLPSteven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 935 citations
8. Analysis Methods in Neural Language Processing: A SurveyYonatan Belinkov, James Glass2019 · 735 citations
9. What do you learn from context? Probing for sentence structure in contextualized word representationsIan Tenney, Patrick Xia, Berlin Chen, et al.2019 · 582 citations
10. Temporal Analysis of Language through Neural Language ModelsYoon Kim, Yi-I Chiu, Kentaro Hanaki, et al.2014 · 439 citations
11. Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot FlyNora Kassner, Hinrich Schütze2020 · 431 citations
12. A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosMichael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 399 citations
13. Open Sesame: Getting inside BERT's Linguistic KnowledgeYongjie Lin, Yi Chern Tan, Robert Frank2019 · 379 citations
14. An Analysis of Encoder Representations in Transformer-Based Machine TranslationAlessandro Raganato, Jörg Tiedemann2018 · 366 citations
15. Information-Theoretic Probing with Minimum Description LengthElena Voita, Ivan Titov2020 · 339 citations
16. Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic ChangeWilliam L. Hamilton, Jure Leskovec, Dan Jurafsky2016 · 324 citations
17. Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for LittleKoustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.2021 · 292 citations
18. Diachronic word embeddings and semantic shifts: a surveyAndrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, et al.2018 · 282 citations
19. XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationSebastian Ruder, Noah Constant, Jan Botha, et al.2021 · 277 citations
20. What do RNN Language Models Learn about Filler-Gap Dependencies?Ethan Wilcox, Roger Levy, Takashi Morita, et al.2018 · 276 citations
21. Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERTZhiyong Wu, Yun Chen, Ben Kao, et al.2020 · 244 citations
22. Analysing Lexical Semantic Change with Contextualised Word RepresentationsMario Giulianelli, Marco Del Tredici, Raquel Fernández2020 · 239 citations
23. Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation ModelsHaim Dubossarsky, Daphna Weinshall, Eitan Grossman2017 · 196 citations
24. The emergence of number and syntax units in LSTM language modelsYair Lakretz, German Kruszewski, Theo Desbordes, et al.2019 · 194 citations
25. Word Sense Induction for Novel Sense DetectionJey Han Lau, Paul Cook, Diana McCarthy, et al.2012 · 187 citations
26. Probing What Different NLP Tasks Teach Machines about Function Word ComprehensionNajoung Kim, Roma Patel, Adam Poliak, et al.2019 · 161 citations
27. Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic ChangeDominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann2018 · 158 citations
28. How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation PairsRico Sennrich2017 · 147 citations
29. SyntaxGym: An Online Platform for Targeted Evaluation of Language ModelsJon Gauthier, Jennifer Hu, Ethan Wilcox, et al.2020 · 145 citations
30. BabyBERTa: Learning More Grammar With Small-Scale Child-Directed LanguagePhilip A. Huebner, Elior Sulem, Fisher Cynthia, et al.2021 · 91 citations
31. Probing for idiomaticity in vector space modelsMarcos Garcia, Tiago Kramer Vieira, Carolina Scarton, et al.2021 · 89 citations
32. RNNs as psycholinguistic subjects: Syntactic state and grammatical dependencyRichard Futrell, Ethan Wilcox, Takashi Morita, et al.2018 · 75 citations
33. What Artificial Neural Networks Can Tell Us About Human Language AcquisitionAlex Warstadt, Samuel R. Bowman2022 · 72 citations
34. Harnessing the linguistic signal to predict scalar inferencesSebastian Schuster, Yuxing Chen, Judith Degen2020 · 54 citations
35. CxGBERT: BERT meets Construction GrammarHarish Tayyar Madabushi, Laurence Romain, Dagmar Divjak, et al.2020 · 43 citations
36. Language acquisition: do children and language models follow similar learning stages?Linnea Evanson, Yair Lakretz, Jean-Rémi King2023 · 33 citations
37. How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speechAditya Yedetore, Tal Linzen, Robert Frank, et al.2023 · 27 citations
38. A closer look at the performance of neural language models on reflexive anaphor licensingJennifer Hu, Sherry Yong Chen, Roger Levy2020 · 24 citations
39. BLiMP: The Benchmark of Linguistic Minimal Pairs for EnglishAlex Warstadt, Alicia Parrish, Haokun Liu, et al.2020 · 19 citations
40. Universal Dependencies and Quantitative Typological Trends. A Case Study on Word OrderChiara Alzetta, Felice Dell'Orletta, Simonetta Montemagni, et al.2018 · 14 citations
41. Are Frequent Phrases Directly Retrieved like Idioms? An Investigation with Self-Paced Reading and Language ModelsGiulia Rambelli, Emmanuele Chersoni, Marco S. G. Senaldi, et al.2023 · 11 citations
42. Targeted Syntactic Evaluation on the Chomsky HierarchyTaiga Someya, Ryo Yoshida, Yohei Oseki2024 · 10 citations
43. Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructionsSoo-Hwan Lee, Sebastian Schuster2022 · 9 citations
44. Exploring diachronic syntactic shifts with dependency length: the case of scientific EnglishTom S Juzek, Marie Pauline Krielke, Elke Teich2020 · 9 citations
45. SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic KnowledgeRoberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al.2022 · 8 citations
46. An Error Analysis Framework for Shallow Surface RealizationAnastasia Shimorina, Yannick Parmentier, Claire Gardent2021 · 8 citations
47. Syntactic Language Change in English and German: Metrics, Parsers, and ConvergencesYanran Chen, Wei Zhao, Anne Breitbarth, et al.2024 · 5 citations
48. Inherent Dependency Displacement Bias of Transition-Based AlgorithmsMark Anderson, Carlos Gómez-Rodríguez2020 · 5 citations
49. Multilingual Nonce Dependency Treebanks: Understanding how Language Models Represent and Process Syntactic StructureDavid Arps, Laura Kallmeyer, Younes Samih, et al.2024 · 4 citations
50. Modeling the Evolution of English Noun Compounds with Feature-Rich Diachronic Compositionality PredictionFilip Miletić, Sabine Schulte im Walde2025 · 3 citations
51. TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in HebrewAnita Gelboim, Elior Sulem2025 · 3 citations
52. Transparent Semantic Change Detection with Dependency-Based ProfilesBach Phan Tat, Kris Heylen, Dirk Geeraerts, et al.2026 · 1 citation
53. Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networksClaire Hobbs, R. Thomas McCoy2026
54. Modeling the Memory-Surprisal Trade-Off over Time: Communicative Efficiency Decreases with Lexico-Grammatical Change in Scientific EnglishJulius Steuer, Marie-Pauline Krielke, Stefania Degaetano-Ortlieb, et al.2026
55. Word predictability estimates from language models are not robust to tokenizer vocabularyKien Nguyen, Suhas Arehalli2026
56. Assessing the Agreement Competence of Large Language ModelsAlba Táboas García, Leo Wanner2025
57. Detecting terminologisation in nouns (Detección de terminologización en sustantivos)Javiera Ahumada, Rogelio Nazar2025

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