---
title: "Who cites CodeBERT: A Pre-Trained Model for Programming…"
description: "281 papers of the Elamur Research library cite «CodeBERT: A Pre-Trained Model for Programming and Natural Languages», found in their bibliographies; the…"
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---
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# Who cites «CodeBERT: A Pre-Trained Model for Programming and Natural Languages»

281 papers of our library cite it (of the 141,840 whose bibliographies we read) · 28 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/feng-2020-codebert-pre-trained-model-programming/)

1. [**A Survey of Large Language Models**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,863 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/)
2. [**Evaluating Large Language Models Trained on Code**Mark Chen, Jerry Tworek, Heewoo Jun, et al.*2021 · 2,548 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-evaluating-large-language-models-trained/)
3. [**Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey**Bonan Min, Hayley Ross, Elior Sulem, et al.*2021 · 1,552 citations*](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/)
4. [**Competition-Level Code Generation with AlphaCode**Yujia Li, David Choi, Junyoung Chung, et al.*2022 · 1,545 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-competition-level-code-generation-alphacode/)
5. [**Code Llama: Open Foundation Models for Code**Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.*2024 · 1,399 citations*](https://md.research.elamur.ai/free/en/papers/roziere-2024-code-llama-open-foundation-models/)
6. [**DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing**Pengcheng He, Jianfeng Gao, Weizhu Chen*2021 · 1,316 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-debertav3-improving-deberta-using-electra/)
7. [**Program Synthesis with Large Language Models**Jacob Austin, Augustus Odena, Maxwell Nye, et al.*2021 · 1,139 citations*](https://md.research.elamur.ai/free/en/papers/austin-2021-program-synthesis-large-language-models/)
8. [**MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework**Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.*2023 · 615 citations*](https://md.research.elamur.ai/free/en/papers/hong-2023-metagpt-meta-programming-multi/)
9. [**Qwen2.5-Coder Technical Report**Binyuan Hui, Jian Yang, Zeyu Cui, et al.*2024 · 547 citations*](https://md.research.elamur.ai/free/en/papers/hui-2024-qwen2-5-coder-technical-report/)
10. [**CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X**Qinkai Zheng, Xiao Xia, Xu Zou, et al.*2023 · 462 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-codegeex-pre-trained-model-code/)
11. [**Security and Privacy Challenges of Large Language Models: A Survey**Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu*2024 · 422 citations*](https://md.research.elamur.ai/free/en/papers/das-2024-security-privacy-challenges-large-language/)
12. [**A Survey on Large Language Models for Code Generation**Juyong Jiang, Fan Wang, Jiasi Shen, et al.*2024 · 366 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/)
13. [**GraphCodeBERT: Pre-training Code Representations with Data Flow**Daya Guo, Shuo Ren, Shuai Lu, et al.*2021 · 331 citations*](https://md.research.elamur.ai/free/en/papers/guo-2021-graphcodebert-pre-training-code-representations/)
14. [**Text and Code Embeddings by Contrastive Pre-Training**Arvind Neelakantan, Tao Xu, Raul Puri, et al.*2022 · 319 citations*](https://md.research.elamur.ai/free/en/papers/neelakantan-2022-text-code-embeddings-contrastive-pre/)
15. [**Text Classification via Large Language Models**Xiaofei Sun, Xiaoya Li, Jiwei Li, et al.*2023 · 292 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-text-classification-large-language-models/)
16. [**CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning**Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.*2022 · 291 citations*](https://md.research.elamur.ai/free/en/papers/le-2022-coderl-mastering-code-generation-through/)
17. [**Retrieval Augmented Code Generation and Summarization**Md Rizwan Parvez, Wasi Ahmad, Saikat Chakraborty, et al.*2021 · 191 citations*](https://md.research.elamur.ai/free/en/papers/parvez-2021-retrieval-augmented-code-generation-summarization/)
18. [**SantaCoder: don't reach for the stars!**Loubna Ben Allal, Raymond Li, Denis Kocetkov, et al.*2023 · 165 citations*](https://md.research.elamur.ai/free/en/papers/allal-2023-santacoder-don-t-reach-stars/)
19. [**BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions**Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.*2024 · 163 citations*](https://md.research.elamur.ai/free/en/papers/zhuo-2024-bigcodebench-benchmarking-code-generation-diverse/)
20. [**Unsupervised Translation of Programming Languages**Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.*2020 · 158 citations*](https://md.research.elamur.ai/free/en/papers/lachaux-2020-unsupervised-translation-programming-languages/)
21. [**InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback**John Yang, Akshara Prabhakar, Karthik Narasimhan, et al.*2023 · 83 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-intercode-standardizing-benchmarking-interactive-coding/)
22. [**OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models**Siming Huang, Tianhao Cheng, Jason Klein Liu, et al.*2025 · 81 citations*](https://md.research.elamur.ai/free/en/papers/huang-2025-opencoder-open-cookbook-top-tier/)
23. [**CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models**Cheng Qian, Chi Han, Yi Fung, et al.*2023 · 72 citations*](https://md.research.elamur.ai/free/en/papers/qian-2023-creator-tool-creation-disentangling-abstract/)
24. [**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)**Lina Gong (宫丽娜), Yiren Zhou (周易人), Yu Qiao (乔羽), et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gong-2024-pre-trained-model/)
25. [**Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)**Zezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yang-2023-deep-learning-code/)
26. [**Early Fusion with Contrastive Learning: A Lightweight Alternative for Multi-modal Classification**Felix Wernlein, Abhik Jana, Sandipan Sikdar*2026*](https://md.research.elamur.ai/free/en/papers/wernlein-2026-early-fusion-contrastive-learning-lightweight/)
27. [**HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship Detection**Luke S. Patterson, Li Wang, Adam Faulkner*2026*](https://md.research.elamur.ai/free/en/papers/patterson-2026-hybridcodeauthorship-benchmark-dataset-line-level/)
28. [**Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)**Quanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-application-retrieval-augmented/)

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

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