🧑‍🔬 Who cites Eran Yahav

291 citations of their works from 230 papers of our library (of the 149,439 whose bibliographies we read) · 43 with a page here, the most cited first · ← Eran Yahav

1. CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesFindings of the Association for Computational LinguisticsZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2,967 citations
2. Evaluating Large Language Models Trained on CodearXiv:2107.03374Mark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,659 citations
3. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
4. Program Synthesis with Large Language ModelsarXiv:2108.07732Jacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,192 citations
5. Unified Pre-training for Program Understanding and GenerationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.2021 · 750 citations
6. Analysis Methods in Neural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Yonatan Belinkov, James Glass2019 · 740 citations
7. CodeSearchNet Challenge: Evaluating the State of Semantic Code SearcharXiv:1909.09436Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, et al.2020 · 656 citations
8. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodearXiv:2403.07974Naman Jain, King Han, Alex Gu, et al.2024 · 578 citations
9. Do NLP Models Know Numbers? Probing Numeracy in EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Wallace, Yizhong Wang, Sujian Li, et al.2019 · 352 citations
10. GraphCodeBERT: Pre-training Code Representations with Data FlowarXiv:2009.08366Daya Guo, Shuo Ren, Shuai Lu, et al.2021 · 332 citations
11. The Adverse Effects of Code Duplication in Machine Learning Models of CodearXiv:1812.06469Miltiadis Allamanis2018 · 319 citations
12. Compositionality decomposed: how do neural networks generalise?arXiv:1908.08351Dieuwke Hupkes, Verna Dankers, Mathijs Mul, et al.2019 · 162 citations
13. Unsupervised Translation of Programming LanguagesarXiv:2006.03511Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.2020 · 160 citations
14. PyMT5: multi-mode translation of natural language and Python code with transformersConference on Empirical Methods in Natural Language Processing (EMNLP)Colin Clement, Dawn Drain, Jonathan Timcheck, et al.2020 · 158 citations
15. TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text GenerationFindings of the Association for Computational LinguisticsAdaku Uchendu, Zeyu Ma, Thai Le, et al.2021 · 140 citations
16. A Systematic Evaluation of Large Language Models of CodearXiv:2202.13169Frank F. Xu, Uri Alon, Graham Neubig, et al.2022 · 125 citations
17. ReACC: A Retrieval-Augmented Code Completion FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Shuai Lu, Nan Duan, Hojae Han, et al.2022 · 125 citations
18. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 122 citations
19. 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
20. Neural Networks and the Chomsky HierarchyarXiv:2207.02098Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 112 citations
21. Learning to Prove Theorems via Interacting with Proof AssistantsarXiv:1905.09381Kaiyu Yang, Jia Deng2019 · 90 citations
22. LSTM Networks Can Perform Dynamic CountingProceedings of the Workshop on Deep Learning and Formal Languages: Building BridgesMirac Suzgun, Yonatan Belinkov, Stuart Shieber, et al.2019 · 89 citations
23. code2seq: Generating Sequences from Structured Representations of CodearXiv:1808.01400Uri Alon, Shaked Brody, Omer Levy, et al.2018 · 72 citations
24. Mission: Impossible Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Julie Kallini, Isabel Papadimitriou, Richard Futrell, et al.2024 · 70 citations
25. RNNs can generate bounded hierarchical languages with optimal memoryConference on Empirical Methods in Natural Language Processing (EMNLP)John Hewitt, Michael Hahn, Surya Ganguli, et al.2020 · 65 citations
26. PanGu-Coder: Program Synthesis with Function-Level Language ModelingarXiv:2207.11280Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, et al.2022 · 49 citations
27. Closing Brackets with Recurrent Neural NetworksEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPNatalia Skachkova, Thomas Trost, Dietrich Klakow2018 · 43 citations
28. How Can Self-Attention Networks Recognize Dyck-n Languages?Findings of the Association for Computational LinguisticsJavid Ebrahimi, Dhruv Gelda, Wei Zhang2020 · 41 citations
29. Jump to better conclusions: SCAN both left and rightEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPJasmijn Bastings, Marco Baroni, Jason Weston, et al.2018 · 38 citations
30. Exploring Transitivity in Neural NLI Models through VeridicalityConference of the European Chapter of the Association for Computational Linguistics (EACL)Hitomi Yanaka, Koji Mineshima, Kentaro Inui2021 · 27 citations
31. Memory Augmented Large Language Models are Computationally UniversalarXiv:2301.04589Dale Schuurmans2023 · 19 citations
32. Targeted Syntactic Evaluation on the Chomsky HierarchyLanguage Resources and Evaluation Conference (LREC)Taiga Someya, Ryo Yoshida, Yohei Oseki2024 · 10 citations
33. Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Michael Y. Hu, Jackson Petty, Chuan Shi, et al.2025 · 9 citations
34. Stable Code Technical ReportarXiv:2404.01226Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, et al.2024 · 9 citations
35. TArC: Tunisian Arabish Corpus, First complete releaseLanguage Resources and Evaluation Conference (LREC)Elisa Gugliotta, Marco Dinarelli2022 · 8 citations
36. TreeDiff: AST-Guided Code Generation with Diffusion LLMsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraYiming Zeng, Jinghan Cao, Zexin Li, et al.2026 · 3 citations
37. LATE-IIMAS at Semeval-2026 Task 13: Evaluating GNNs, PLMs, LLMs, and Stylometry for Automatic Code IdentificationInternational Workshop on Semantic Evaluation (SemEval)Andric Valdez, Emmanuel Ancona, Sebastián Bernardino, et al.2026 · 1 citation
38. Research Progress of Pre-trained Model in Software Engineering (预训练模型在软件工程领域应用研究进展)Journal of SoftwareLina Gong (宫丽娜), Yiren Zhou (周易人), Yu Qiao (乔羽), et al.2024 · 1 citation
39. An Empirical Analysis of Task Relations in the Multi-Task Annotation of an Arabizi CorpusConference on Language, Data and KnowledgeElisa Gugliotta, Marco Dinarelli2023 · 1 citation
40. Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting CircuitsFindings of the Association for Computational LinguisticsYizheng Zhao2026
41. From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Yanli Wang, Yanlin Wang, Bowen Zhang, et al.2026
42. Pixel Phantoms at SemEval-2026 Task 13: Exploring Classical and Neural Approaches for AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Jithu Morrison S, Janani Hariharakrishnan, Angel Deborah S, et al.2026
43. The Development of Spectral and Temporal Encodings in Speech SoundsSociety for Computation in Linguistics (SCiL)Frank Lihui Tan, Youngah Do2026

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