🧑‍🔬 Who cites Berlin Chen

471 citations of their works from 470 papers of our library (of the 141,840 whose bibliographies we read) · 63 with a page here, the most cited first · ← Berlin Chen

1. Language Models as Knowledge Bases?Conference on Empirical Methods in Natural Language Processing (EMNLP)Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.2019 · 2,992 citations
2. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsarXiv:1905.00537Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,190 citations
3. BERT Rediscovers the Classical NLP PipelineAnnual Meeting of the Association for Computational Linguistics (ACL)Ian Tenney, Dipanjan Das, Ellie Pavlick2019 · 2,002 citations
4. What Does BERT Learn about the Structure of Language?Annual Meeting of the Association for Computational Linguistics (ACL)Ganesh Jawahar, Benoît Sagot, Djamé Seddah2019 · 1,799 citations
5. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,753 citations
6. How Can We Know What Language Models Know?Transactions of the Association for Computational Linguistics (TACL)Zhengbao Jiang, Frank F. Xu, Jun Araki, et al.2020 · 1,501 citations
7. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of DataAnnual Meeting of the Association for Computational Linguistics (ACL)Emily M. Bender, Alexander Koller2020 · 1,375 citations
8. A Structural Probe for Finding Syntax in Word RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)John Hewitt, Christopher D. Manning2019 · 1,232 citations
9. Linguistic Knowledge and Transferability of Contextual RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.2019 · 1,015 citations
10. MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover DistanceConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Zhao, Maxime Peyrard, Fei Liu, et al.2019 · 829 citations
11. Explainability for Large Language Models: A SurveyACM Transactions on Intelligent Systems and TechnologyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 785 citations
12. PAWS: Paraphrase Adversaries from Word ScramblingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yuan Zhang, Jason Baldridge, Luheng He2019 · 587 citations
13. Probing Classifiers: Promises, Shortcomings, and AdvancesComputational LinguisticsYonatan Belinkov2022 · 514 citations
14. oLMpics — On what Language Model Pre-training CapturesTransactions of the Association for Computational Linguistics (TACL)Alon Talmor, Yanai Elazar, Yoav Goldberg, et al.2019 · 435 citations
15. Factual Probing Is [MASK]: Learning vs. Learning to RecallConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zexuan Zhong, Dan Friedman, Danqi Chen2021 · 411 citations
16. Open Sesame: Getting inside BERT's Linguistic KnowledgeProceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPYongjie Lin, Yi Chern Tan, Robert Frank2019 · 382 citations
17. The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language ModelsarXiv:2103.06678Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al.2021 · 365 citations
18. Revisiting Few-sample BERT Fine-tuningarXiv:2006.05987Tianyi Zhang, Felix Wu, Arzoo Katiyar, et al.2020 · 362 citations
19. TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented DialogueConference on Empirical Methods in Natural Language Processing (EMNLP)Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al.2020 · 361 citations
20. Visualizing and Measuring the Geometry of BERTarXiv:1906.02715Andy Coenen, Emily Reif, Ann Yuan, et al.2019 · 343 citations
21. Information-Theoretic Probing with Minimum Description LengthConference on Empirical Methods in Natural Language Processing (EMNLP)Elena Voita, Ivan Titov2020 · 340 citations
22. Information-Theoretic Probing for Linguistic StructureAnnual Meeting of the Association for Computational Linguistics (ACL)Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, et al.2020 · 293 citations
23. Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?Annual Meeting of the Association for Computational Linguistics (ACL)Yada Pruksachatkun, Jason Phang, Haokun Liu, et al.2020 · 281 citations
24. Multi-Sentence Argument LinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Seth Ebner, Patrick Xia, Ryan Culkin, et al.2020 · 281 citations
25. Text Classification Using Label Names Only: A Language Model Self-Training ApproachConference on Empirical Methods in Natural Language Processing (EMNLP)Yu Meng, Yunyi Zhang, Jiaxin Huang, et al.2020 · 274 citations
26. Attention is Not Only a Weight: Analyzing Transformers with Vector NormsConference on Empirical Methods in Natural Language Processing (EMNLP)Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, et al.2020 · 268 citations
27. Measuring and Reducing Gendered Correlations in Pre-trained ModelsarXiv:2010.06032Kellie Webster, Xuezhi Wang, Ian Tenney, et al.2020 · 253 citations
28. Interpreting Pretrained Contextualized Representations via Reductions to Static EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL)Rishi Bommasani, Kelly Davis, Claire Cardie2020 · 248 citations
29. Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERTAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyong Wu, Yun Chen, Ben Kao, et al.2020 · 245 citations
30. ZeroGen: Efficient Zero-shot Learning via Dataset GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiacheng Ye, Jiahui Gao, Qintong Li, et al.2022 · 242 citations
31. How Context Affects Language Models' Factual PredictionsarXiv:2005.04611Fabio Petroni, Patrick Lewis, Aleksandra Piktus, et al.2020 · 231 citations
32. The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling ObjectivesConference on Empirical Methods in Natural Language Processing (EMNLP)Elena Voita, Rico Sennrich, Ivan Titov2019 · 223 citations
33. Visualizing and Understanding the Effectiveness of BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Yaru Hao, Li Dong, Furu Wei, et al.2019 · 221 citations
34. What Happens To BERT Embeddings During Fine-tuning?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPAmil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.2020 · 218 citations
35. Syntactic Data Augmentation Increases Robustness to Inference HeuristicsAnnual Meeting of the Association for Computational Linguistics (ACL)Junghyun Min, R. Thomas McCoy, Dipanjan Das, et al.2020 · 217 citations
36. What Artificial Neural Networks Can Tell Us About Human Language AcquisitionarXiv:2208.07998Alex Warstadt, Samuel R. Bowman2022 · 176 citations
37. Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIsConference on Empirical Methods in Natural Language Processing (EMNLP)Alex Warstadt, Yu Cao, Ioana Grosu, et al.2019 · 176 citations
38. Investigating Multilingual NMT Representations at ScaleConference on Empirical Methods in Natural Language Processing (EMNLP)Sneha Kudugunta, Ankur Bapna, Isaac Caswell, et al.2019 · 175 citations
39. Probing What Different NLP Tasks Teach Machines about Function Word ComprehensionJoint Conference on Lexical and Computational Semantics (*SEM)Najoung Kim, Roma Patel, Adam Poliak, et al.2019 · 161 citations
40. Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Abhilasha Ravichander, Yonatan Belinkov, Eduard Hovy2021 · 141 citations
41. SPARTQA: A Textual Question Answering Benchmark for Spatial ReasoningRoshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, et al.2021 · 93 citations
42. speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation AssessmentInterspeechJunbo Zhang, Zhiwen Zhang, Yongqing Wang, et al.2021 · 90 citations
43. Coreference-Aware Dialogue SummarizationAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Zhengyuan Liu, Ke Shi, Nancy Chen2021 · 81 citations
44. CLiMP: A Benchmark for Chinese Language Model EvaluationConference of the European Chapter of the Association for Computational Linguistics (EACL)Beilei Xiang, Changbing Yang, Yu Li, et al.2021 · 73 citations
45. Mission: Impossible Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Julie Kallini, Isabel Papadimitriou, Richard Futrell, et al.2024 · 69 citations
46. A Fine-Grained Analysis of BERTScoreConference on Machine Translation (WMT)Michael Hanna, Ondřej Bojar2021 · 62 citations
47. A Neural Entity Coreference Resolution ReviewExpert Systems with Applications, Volume 168, 15 April 2021, 114,466Nikolaos Stylianou, Ioannis Vlahavas2019 · 48 citations
48. CxGBERT: BERT meets Construction GrammarInternational Conference on Computational Linguistics (COLING)Harish Tayyar Madabushi, Laurence Romain, Dagmar Divjak, et al.2020 · 46 citations
49. Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated TasksConference of the European Chapter of the Association for Computational Linguistics (EACL)Jimin Sun, Hwijeen Ahn, Chan Young Park, et al.2021 · 28 citations
50. BLiMP: The Benchmark of Linguistic Minimal Pairs for EnglishAlex Warstadt, Alicia Parrish, Haokun Liu, et al.2020 · 21 citations
51. Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating MethodsIEEE Automatic Speech Recognition and Understanding Workshop (ASRU)Shao-Wei Fan Jiang, Bi-Cheng Yan, Tien-Hong Lo, et al.2021 · 20 citations
52. Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really NecessaryStefan Grünewald, Annemarie Friedrich, Jonas Kuhn2021 · 18 citations
53. Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, et al.2023 · 5 citations
54. Predicting the Argumenthood of English Prepositional PhrasesProceedings of the AAAI Conference on Artificial IntelligenceNajoung Kim, Kyle Rawlins, Benjamin Van Durme, et al.2018 · 4 citations
55. 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
56. Examining Political Rhetoric with Epistemic Stance DetectionWorkshop on Natural Language Processing and Computational Social Science (NLP+CSS)Ankita Gupta, Su Lin Blodgett, Justin H Gross, et al.2022 · 2 citations
57. Automated detection of pronunciation errors in non-native English speech employing deep learningarXiv:2209.06265Daniel Korzekwa2022 · 1 citation
58. A Fusion-Aware Two-Stage Framework for Mispronunciation Detection and Diagnosis in Low-Resource Modern Standard ArabicarXiv:2606.24086Jing Yang, Shuqing Zhang, Yongyi Deng, et al.2026
59. Compositional Meaning Representations in LLMs: a Critical Review of Probing StudiesJoint Conference on Lexical and Computational Semantics (*SEM)Rémy Marro2026
60. Predicting States of Understanding in Explanatory Interactions Using Cognitive Load-Related Linguistic CuesLanguage Resources and Evaluation Conference (LREC)Yu Wang, Olcay Türk, Angela Grimminger, et al.2026
61. Sequence Labeling for Constituent Parsing: A Comparative Study and Encoding InnovationsComputational LinguisticsDiego Roca, David Vilares, Carlos Gómez-Rodríguez2026
62. Transformer Attention as a Unified Model of Encoding and Retrieval in Human Sentence ProcessingWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Dan Parker2026
63. Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference ResolutionWorkshop on Representation Learning for NLPTatiana Anikina, Arne Binder, David Harbecke, et al.2025

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