{"total":34,"rows":[{"id":"2102.04664","title":"CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation","created":"2021-02-09","cited_by_count":744,"area":null},{"id":"2207.05987","title":"DocPrompting: Generating Code by Retrieving the Docs","created":"2022-07-13","cited_by_count":153,"area":null},{"id":"2204.11454","title":"Natural Language to Code Translation with Execution","created":"2022-04-25","cited_by_count":124,"area":null},{"id":"2306.02907","title":"SelfEvolve: A Code Evolution Framework via Large Language Models","created":"2023-06-05","cited_by_count":43,"area":null},{"id":"2203.08388","title":"MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages","created":"2022-03-16","cited_by_count":41,"area":null},{"id":"2405.02213","title":"Automatic Programming: Large Language Models and Beyond","created":"2024-05-03","cited_by_count":36,"area":null},{"id":"2204.09653","title":"On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages","created":"2022-04-05","cited_by_count":30,"area":null},{"id":"2401.00288","title":"Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit","created":"2023-12-30","cited_by_count":22,"area":null},{"id":"2212.09885","title":"Python Code Generation by Asking Clarification Questions","created":"2022-12-19","cited_by_count":17,"area":null},{"id":"2104.13100","title":"Shellcode_IA32: A Dataset for Automatic Shellcode Generation","created":"2021-04-27","cited_by_count":16,"area":null},{"id":"2202.06521","title":"Source Code Summarization with Structural Relative Position Guided Transformer","created":"2022-02-14","cited_by_count":14,"area":null},{"id":"2203.03047","title":"Recent Advances in Neural Text Generation: A Task-Agnostic Survey","created":"2022-03-06","cited_by_count":14,"area":null},{"id":"2208.10091","title":"Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation","created":"2022-08-22","cited_by_count":11,"area":null},{"id":"2105.14796","title":"Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning","created":"2021-05-31","cited_by_count":10,"area":null},{"id":"2106.00261","title":"Exploring Dynamic Selection of Branch Expansion Orders for Code Generation","created":"2021-06-01","cited_by_count":10,"area":null},{"id":"2204.03498","title":"On the Effectiveness of Pretrained Models for API Learning","created":"2022-04-05","cited_by_count":9,"area":null},{"id":"2106.04447","title":"Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation","created":"2021-06-08","cited_by_count":8,"area":null},{"id":"2101.00259","title":"Code Generation from Natural Language with Less Prior and More Monolingual Data","created":"2021-01-01","cited_by_count":6,"area":null},{"id":"2206.04730","title":"A Neural Network Architecture for Program Understanding Inspired by Human Behaviors","created":"2022-05-10","cited_by_count":5,"area":null},{"id":"2108.05198","title":"Natural Language-Guided Programming","created":"2021-08-11","cited_by_count":4,"area":null},{"id":"2106.00793","title":"CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction","created":"2021-06-01","cited_by_count":3,"area":null},{"id":"2202.04847","title":"A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective","created":"2022-02-10","cited_by_count":3,"area":null},{"id":"2202.07806","title":"Code Generation for Unknown Libraries via Reading API Documentations","created":"2022-02-16","cited_by_count":3,"area":null},{"id":"2206.13354","title":"Transformer with Tree-order Encoding for Neural Program Generation","created":"2022-05-30","cited_by_count":3,"area":null},{"id":"2302.07845","title":"NL2CMD: An Updated Workflow for Natural Language to Bash Commands Translation","created":"2023-02-15","cited_by_count":3,"area":null},{"id":"2203.15319","title":"Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation","created":"2022-03-29","cited_by_count":2,"area":null},{"id":"2307.02443","title":"An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code","created":"2023-07-05","cited_by_count":1,"area":null},{"id":"2101.07138","title":"Teach me how to Label: Labeling Functions from Natural Language with Text-to-text Transformers","created":"2021-01-18","cited_by_count":0,"area":null},{"id":"2202.03755","title":"Can We Generate Shellcodes via Natural Language? An Empirical Study","created":"2022-02-08","cited_by_count":0,"area":null},{"id":"2203.10744","title":"Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answering","created":"2022-03-21","cited_by_count":0,"area":null},{"id":"2208.09998","title":"Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation","created":"2022-08-22","cited_by_count":0,"area":null},{"id":"2307.16795","title":"Structural Transfer Learning in NL-to-Bash Semantic Parsers","created":"2023-07-31","cited_by_count":0,"area":null},{"id":"2309.05938","title":"Answering Subjective Induction Questions on Products by Summarizing Multi-sources Multi-viewpoints Knowledge","created":"2023-09-12","cited_by_count":0,"area":null},{"id":"2504.05759","title":"RETROcode: Leveraging a Code Database for Improved Natural Language to Code Generation","created":"2025-04-08","cited_by_count":0,"area":null}],"next_cursor":null}