🧑‍🔬 Who cites Adam Pearce

283 citations of their works from 282 papers of our library (of the 149,439 whose bibliographies we read) · 48 with a page here, the most cited first · ← Adam Pearce

1. 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 · 1,759 citations
2. Quantifying Attention Flow in TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Samira Abnar, Willem Zuidema2020 · 1,064 citations
3. Integrating Multimodal Information in Large Pretrained TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee, et al.2020 · 746 citations
4. oLMpics — On what Language Model Pre-training CapturesTransactions of the Association for Computational Linguistics (TACL)Alon Talmor, Yanai Elazar, Yoav Goldberg, et al.2019 · 440 citations
5. Probing Pretrained Language Models for Lexical SemanticsConference on Empirical Methods in Natural Language Processing (EMNLP)Ivan Vulić, Edoardo Maria Ponti, Robert Litschko, et al.2020 · 320 citations
6. 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
7. 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 · 270 citations
8. Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encodersAnnual Meeting of the Association for Computational Linguistics (ACL)Terra Blevins, Luke Zettlemoyer2020 · 232 citations
9. 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 · 220 citations
10. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
11. AI Alignment: A Comprehensive SurveyarXiv:2310.19852Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.2023 · 173 citations
12. The Linear Representation Hypothesis and the Geometry of Large Language ModelsInternational Conference on Machine Learning (ICML)Kiho Park, Yo Joong Choe, Victor Veitch2023 · 165 citations
13. All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational QualityConference on Empirical Methods in Natural Language Processing (EMNLP)William Timkey, Marten van Schijndel2021 · 139 citations
14. Function Vectors in Large Language ModelsarXiv:2310.15213Eric Todd, Millicent L. Li, Arnab Sen Sharma, et al.2023 · 127 citations
15. Finding Neurons in a Haystack: Case Studies with Sparse ProbingarXiv:2305.01610Wes Gurnee, Neel Nanda, Matthew Pauly, et al.2023 · 123 citations
16. Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in ColorConference on Computational Natural Language Learning (CoNLL)Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, et al.2021 · 122 citations
17. On the Ability and Limitations of Transformers to Recognize Formal LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Satwik Bhattamishra, Kabir Ahuja, Navin Goyal2020 · 113 citations
18. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
19. Reasoning Models Don't Always Say What They ThinkarXiv:2505.05410Yanda Chen, Joe Benton, Ansh Radhakrishnan, et al.2025 · 106 citations
20. Are Transformers universal approximators of sequence-to-sequence functions?arXiv:1912.10077Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, et al.2019 · 97 citations
21. Interpretability at Scale: Identifying Causal Mechanisms in AlpacaConference on Neural Information Processing Systems (NeurIPS)Zhengxuan Wu, Atticus Geiger, Thomas Icard, et al.2023 · 81 citations
22. Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into SensesTransactions of the Association for Computational Linguistics (TACL)Aina Garí Soler, Marianna Apidianaki2021 · 75 citations
23. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
24. Characterizing English Variation across Social Media Communities with BERTTransactions of the Association for Computational Linguistics (TACL)Li Lucy, David Bamman2021 · 57 citations
25. Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop QueriesConference on Empirical Methods in Natural Language Processing (EMNLP)Eden Biran, Daniela Gottesman, Sohee Yang, et al.2024 · 55 citations
26. On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERTJoint Conference on Lexical and Computational Semantics (*SEM)Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, et al.2020 · 55 citations
27. Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Clément Dumas, Chris Wendler, Veniamin Veselovsky, et al.2025 · 27 citations
28. Construction Grammar Provides Unique Insight into Neural Language ModelsInternational Workshop on Construction Grammars and NLPLeonie Weissweiler, Taiqi He, Naoki Otani, et al.2023 · 26 citations
29. Morphosyntactic probing of multilingual BERT modelsNatural Language EngineeringJudit Acs, Endre Hamerlik, Roy Schwartz, et al.2023 · 26 citations
30. Lexical Semantics with Large Language Models: A Case Study of English “break”Findings of the Association for Computational LinguisticsErika Petersen, Christopher Potts2023 · 17 citations
31. Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of RaceAnnual Meeting of the Association for Computational Linguistics (ACL)Lihao Sun, Chengzhi Mao, Valentin Hofmann, et al.2025 · 10 citations
32. How Fast can BERT Learn Simple Natural Language Inference?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Yi-Chung Lin, Keh-Yih Su2021 · 10 citations
33. Paths Not Taken: Understanding and Mending the Multilingual Factual Recall PipelineConference on Empirical Methods in Natural Language Processing (EMNLP)Meng Lu, Ruochen Zhang, Carsten Eickhoff, et al.2025 · 9 citations
34. Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual CounterfactsConference on Empirical Methods in Natural Language Processing (EMNLP)Michal Golovanevsky, William Rudman, Michael A. Lepori, et al.2025 · 8 citations
35. Localized Cultural Knowledge is Conserved and Controllable in Large Language ModelsFindings of the Association for Computational LinguisticsVeniamin Veselovsky, Berke Argın, Benedikt Stroebl, et al.2026 · 7 citations
36. MetaFaith: Faithful Natural Language Uncertainty Expression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.2025 · 6 citations
37. Qwen-Scope: Turning Sparse Features into Development Tools for Large Language ModelsarXiv:2605.11887Boyi Deng, Xu Wang, Yaoning Wang, et al.2026 · 3 citations
38. Modeling the Evolution of English Noun Compounds with Feature-Rich Diachronic Compositionality PredictionFilip Miletić, Sabine Schulte im Walde2025 · 3 citations
39. In-Context Representation HijackingAnnual Meeting of the Association for Computational Linguistics (ACL)Itay Yona, Amir Sarid, Michael Karasik, et al.2026 · 2 citations
40. Rhetorical Questions in LLM Representations: A Linear Probing StudyAnnual Meeting of the Association for Computational Linguistics (ACL)Louie Hong Yao, Vishesh Anand, Yuan Zhuang, et al.2026 · 1 citation
41. Vocab Diet: Reshaping the Vocabulary of LLMs via Vector ArithmeticFindings of the Association for Computational LinguisticsYuval Reif, Guy Kaplan, Roy Schwartz2026 · 1 citation
42. A framework for analyzing concept representations in neural modelsConference on Computational Natural Language Learning (CoNLL)Burin Naowarat, Hao Tang, Sharon Goldwater2026
43. Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic SteeringFindings of the Association for Computational LinguisticsWeikang Zhang, Zimo Zhu, Zhichuan Yang, et al.2026
44. Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Chenyuan Zhang, Qiguang Chen, Xie Chen, et al.2026
45. Mechanistic Insights into Deferred Semantic Drift in LLMsFindings of the Association for Computational LinguisticsJingjie Zeng, Huayang Li, Liang Yang, et al.2026
46. ReFreeKV: Towards Threshold-Free KV Cache CompressionFindings of the Association for Computational LinguisticsXuanfan Ni, Liyan Xu, Chenyang Lyu, et al.2026
47. The Illusion of Specialization: Unveiling the Domain-Invariant “Standing Committee” in Mixture-of-Experts ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yan Wang, Yitao Xu, Nanhan Shen, et al.2026
48. Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM HallucinationsAnnual Meeting of the Association for Computational Linguistics (ACL)Wen Luo, Guangyue Peng, Wei Li, et al.2026

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