🔗 Who cites «A Survey of Machine Learning for Big Code and Naturalness»

76 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «A Survey of Machine Learning for Big Code and Naturalness»

1. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 citations
2. 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
3. Program Synthesis with Large Language ModelsarXiv:2108.07732Jacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,192 citations
4. CodeSearchNet Challenge: Evaluating the State of Semantic Code SearcharXiv:1909.09436Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, et al.2020 · 656 citations
5. Directed Acyclic Graph Network for Conversational Emotion RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Weizhou Shen, Siyue Wu, Yunyi Yang, et al.2021 · 346 citations
6. The Adverse Effects of Code Duplication in Machine Learning Models of CodearXiv:1812.06469Miltiadis Allamanis2018 · 319 citations
7. Retrieval Augmented Code Generation and SummarizationFindings of the Association for Computational LinguisticsMd Rizwan Parvez, Wasi Ahmad, Saikat Chakraborty, et al.2021 · 193 citations
8. CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding TasksarXiv:2105.12655Ruchir Puri, David S. Kung, Geert Janssen, et al.2021 · 141 citations
9. Learning to Represent Programs with GraphsarXiv:1711.00740Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi2017 · 127 citations
10. Scaling Laws for Code: A More Data-Hungry RegimeAnnual Meeting of the Association for Computational Linguistics (ACL)Xianzhen Luo, Wenzhen Zheng, Qingfu Zhu, et al.2026 · 3 citations
11. 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
12. SynthFix: Adaptive Neuro-Symbolic Code Vulnerability RepairFindings of the Association for Computational LinguisticsYifan Zhang, Jieyu Li, Kexin Pei, et al.2026

64 more papers of our library cite it; they have no page here yet.

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