--- title: "Who cites Bimodal Modelling of Source — 32 citing papers" description: "32 papers of the Elamur Research library cite «Bimodal Modelling of Source Code and Natural Language», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/allamanis-2015-bimodal-modelling-source-code-natural/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/allamanis-2015-bimodal-modelling-source-code-natural/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Bimodal Modelling of Source Code and Natural…](https://md.research.elamur.ai/free/en/papers/allamanis-2015-bimodal-modelling-source-code-natural/) / cited by # Who cites «Bimodal Modelling of Source Code and Natural Language» 32 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · [← back to «Bimodal Modelling of Source Code and Natural Language»](https://md.research.elamur.ai/free/en/papers/allamanis-2015-bimodal-modelling-source-code-natural/) 1. [**Evaluating Large Language Models Trained on Code arXiv:2107.03374**Mark Chen, Jerry Tworek, Heewoo Jun, et al.*2021 · 2,659 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-evaluating-large-language-models-trained/) 2. **[Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task](https://md.research.elamur.ai/free/en/papers/yu-2018-spider-large-scale-human-labeled/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tao Yu, Rui Zhang, Kai Yang, et al.*2018 · 1,602 citations* 3. **[A Syntactic Neural Model for General-Purpose Code Generation](https://md.research.elamur.ai/free/en/papers/yin-2017-syntactic-neural-model-general-purpose/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengcheng Yin, Graham Neubig*2017 · 788 citations* 4. [**Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow arXiv:1805.08949**Pengcheng Yin, Bowen Deng, Edgar Chen, et al.*2018 · 308 citations*](https://md.research.elamur.ai/free/en/papers/yin-2018-learning-mine-aligned-code-natural/) 5. **[TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation](https://md.research.elamur.ai/free/en/papers/yu-2018-typesql-knowledge-based-type-aware/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tao Yu, Zifan Li, Zilin Zhang, et al.*2018 · 303 citations* 6. [**A Convolutional Attention Network for Extreme Summarization of Source Code arXiv:1602.03001**Miltiadis Allamanis, Hao Peng, Charles Sutton*2016 · 198 citations*](https://md.research.elamur.ai/free/en/papers/allamanis-2016-convolutional-attention-network-extreme-summarization/) 7. **[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* 8. **[PyMT5: multi-mode translation of natural language and Python code with transformers](https://md.research.elamur.ai/free/en/papers/clement-2020-pymt5-multi-mode-translation-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Colin Clement, Dawn Drain, Jonathan Timcheck, et al.*2020 · 158 citations* 9. [**A parallel corpus of Python functions and documentation strings for automated code documentation and code generation arXiv:1707.02275**Antonio Valerio Miceli Barone, Rico Sennrich*2017 · 135 citations*](https://md.research.elamur.ai/free/en/papers/barone-2017-parallel-corpus-python-functions-documentation/) 10. **[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* 11. **[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* 12. [**code2seq: Generating Sequences from Structured Representations of Code arXiv:1808.01400**Uri Alon, Shaked Brody, Omer Levy, et al.*2018 · 72 citations*](https://md.research.elamur.ai/free/en/papers/alon-2018-code2seq-generating-sequences-structured-representations/) 13. [**Structural Language Models of Code arXiv:1910.00577**Uri Alon, Roy Sadaka, Omer Levy, et al.*2019 · 55 citations*](https://md.research.elamur.ai/free/en/papers/alon-2019-structural-language-models-code/) 19 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/allamanis-2015-bimodal-modelling-source-code-natural/) — Bimodal Modelling of Source Code and Natural Language