---
title: "Who cites Mining Idioms from Source Code — 23 citing papers"
description: "23 papers of the Elamur Research library cite «Mining Idioms from Source Code», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/allamanis-2014-mining-idioms-source-code/cited-by/"
---
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# Who cites «Mining Idioms from Source Code»

23 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Mining Idioms from Source Code»](https://md.research.elamur.ai/free/en/papers/allamanis-2014-mining-idioms-source-code/)

1. **[A Survey on Large Language Models for Code Generation](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/) [ACM Transactions on Software Engineering and Methodology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-software-engineering-and-methodology/)**Juyong Jiang, Fan Wang, Jiasi Shen, et al.*2024 · 367 citations*
2. [**Bimodal Modelling of Source Code and Natural Language ICML 2015, PMLR 37:2123–2132**Miltos Allamanis, Daniel Tarlow, Andrew Gordon, et al.*2015 · 179 citations*](https://md.research.elamur.ai/free/en/papers/allamanis-2015-bimodal-modelling-source-code-natural/)
3. **[A Survey of Machine Learning for Big Code and Naturalness](https://md.research.elamur.ai/free/en/papers/allamanis-2017-survey-machine-learning-big-code/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, et al.*2017 · 167 citations*
4. **[A General Path-Based Representation for Predicting Program Properties](https://md.research.elamur.ai/free/en/papers/alon-2018-general-path-based-representation-predicting/) [ACM SIGPLAN Notices](https://md.research.elamur.ai/free/en/venues/acm-sigplan-notices/)**Uri Alon, Meital Zilberstein, Omer Levy, et al.*2018 · 89 citations*
5. **[JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation](https://md.research.elamur.ai/free/en/papers/agashe-2019-juice-large-scale-distantly-supervised/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer*2019 · 75 citations*
6. [**Neural Attribute Machines for Program Generation arXiv:1705.09231**Matthew Amodio, Swarat Chaudhuri, Thomas W. Reps*2017 · 23 citations*](https://md.research.elamur.ai/free/en/papers/amodio-2017-neural-attribute-machines-program-generation/)

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

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