Evaluating Large Language Models Trained on Code
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Cited by 1,394 in LLM reasoning, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities. A distinct production version of Codex powers GitHub Copilot. On HumanEval, a new evaluation set we release to measure functional correctness for synthesizing programs from docstrings, our model solves 28.8% of the problems, while GPT-3 solves 0% and GPT-J solves 11.4%. Furthermore, we find that repeated sampling from the model is a surprisingly effective strategy for producing working solutions to difficult prompts. Using this method, we solve 70.2% of our problems with 100 samples per problem. Careful investigation of our model reveals its limitations, including difficulty with docstrings describing long chains of operations and with binding operations to variables. Finally, we discuss the potential broader impacts of deploying powerful code generation technologies, covering safety, security, and economics.
Key facts. Cited by 8,053 papers in the map (data through 7 Oct 2026). Builds on 66 of its 130 references that are in the map. First posted on arXiv 7 Jul 2021.
Builds on
66 of 130 references.
References · 66
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2020Language Models are Few-Shot Learnerscited by 32,199
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2018Representation Learning with Contrastive Predictive Codingcited by 7,662
- 2020Scaling Laws for Neural Language Modelscited by 6,411
- 2021Zero-Shot Text-to-Image Generationcited by 4,276
- 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
- 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
- 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
38 more
- 2019The Curious Case of Neural Text Degenerationcited by 2,881
- 2020Learning to summarize from human feedbackcited by 2,562
- 2021BEiT: BERT Pre-Training of Image Transformerscited by 2,360
- 2020The Pile: An 800GB Dataset of Diverse Text for Language Modelingcited by 2,346
- 2018Deep contextualized word representationscited by 2,285
- 2019ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Taskscited by 2,219
- 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,157
- 2020Extracting Training Data from Large Language Modelscited by 2,144
- 2016WaveNet: A Generative Model for Raw Audiocited by 1,710
- 2019Generating Long Sequences with Sparse Transformerscited by 1,523
- 2021Calibrate Before Use: Improving Few-Shot Performance of Language Modelscited by 1,371
- 2020CodeBERT: A Pre-Trained Model for Programming and Natural Languagescited by 1,286
- 2020Language (Technology) is Power: A Critical Survey of "Bias" in NLPcited by 951
- 2021Measuring Coding Challenge Competence With APPScited by 879
- 2016Pixel Recurrent Neural Networkscited by 814
- 2019CTRL: A Conditional Transformer Language Model for Controllable Generationcited by 754
- 2021CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generationcited by 732
- 2019CodeSearchNet Challenge: Evaluating the State of Semantic Code Searchcited by 638
- 2014Neural Turing Machinescited by 630
- 2021Carbon Emissions and Large Neural Network Trainingcited by 561
- 2013Generating Sequences With Recurrent Neural Networkscited by 549
- 2020Jukebox: A Generative Model for Musiccited by 535
- 2020CodeBLEU: a Method for Automatic Evaluation of Code Synthesiscited by 468
- 2016Visual Dialogcited by 377
- 2021Persistent Anti-Muslim Bias in Large Language Modelscited by 376
- 2021MERLOT: Multimodal Neural Script Knowledge Modelscited by 311
- 2020Unsupervised Translation of Programming Languagescited by 262
- 2015Semi-supervised Sequence Learningcited by 198
- 2018code2seq: Generating Sequences from Structured Representations of Codecited by 177
- 2019SPoC: Search-based Pseudocode to Codecited by 176
- 2020Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defensescited by 171
- 2021Alignment of Language Agentscited by 167
- 2016DeepCoder: Learning to Write Programscited by 145
- 2017RobustFill: Neural Program Learning under Noisy I/Ocited by 124
- 2015Neural GPUs Learn Algorithmscited by 118
- 2020Unit Test Case Generation with Transformers and Focal Contextcited by 118
- 2020You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completioncited by 112
- 2018An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translationcited by 106
50 most cited of 66 All 66 (JSON)
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Citing papers per year: 2021: 52; 2022: 304; 2023: 1005; 2024: 1625; 2025: 2372; 2026: 2695.
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