{"list":"other","total":67,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"1910.10683","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","created":"2019-10-23","cited_by_count":14599},{"id":"1907.11692","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","created":"2019-07-26","cited_by_count":13372},{"id":"1409.0473","title":"Neural Machine Translation by Jointly Learning to Align and Translate","created":"2014-09-01","cited_by_count":4548},{"id":"2002.08155","title":"CodeBERT: A Pre-Trained Model for Programming and Natural Languages","created":"2020-02-19","cited_by_count":1310},{"id":"2109.00859","title":"CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation","created":"2021-09-02","cited_by_count":906},{"id":"2102.04664","title":"CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation","created":"2021-02-09","cited_by_count":744},{"id":"1905.03197","title":"Unified Language Model Pre-training for Natural Language Understanding and Generation","created":"2019-05-08","cited_by_count":670},{"id":"1909.09436","title":"CodeSearchNet Challenge: Evaluating the State of Semantic Code Search","created":"2019-09-20","cited_by_count":654},{"id":"2009.08366","title":"GraphCodeBERT: Pre-training Code Representations with Data Flow","created":"2020-09-17","cited_by_count":609},{"id":"2302.06476","title":"Is ChatGPT a General-Purpose Natural Language Processing Task Solver?","created":"2023-02-08","cited_by_count":488},{"id":"2009.09796","title":"Multi-Task Learning with Deep Neural Networks: A Survey","created":"2020-09-10","cited_by_count":375},{"id":"2203.03850","title":"UniXcoder: Unified Cross-Modal Pre-training for Code Representation","created":"2022-03-08","cited_by_count":361},{"id":"1901.11504","title":"Multi-Task Deep Neural Networks for Natural Language Understanding","created":"2019-01-31","cited_by_count":350},{"id":"1812.08951","title":"Analysis Methods in Neural Language Processing: A Survey","created":"2018-12-21","cited_by_count":277},{"id":"1906.04284","title":"Analyzing the Structure of Attention in a Transformer Language Model","created":"2019-06-07","cited_by_count":243},{"id":"2310.03533","title":"Large Language Models for Software Engineering: Survey and Open Problems","created":"2023-10-05","cited_by_count":181},{"id":"2005.00653","title":"A Transformer-based Approach for Source Code Summarization","created":"2020-05-01","cited_by_count":133},{"id":"2207.04237","title":"Few-shot training LLMs for project-specific code-summarization","created":"2022-07-09","cited_by_count":129},{"id":"1812.06469","title":"The Adverse Effects of Code Duplication in Machine Learning Models of Code","created":"2018-12-16","cited_by_count":126},{"id":"1811.07234","title":"Improving Automatic Source Code Summarization via Deep Reinforcement Learning","created":"2018-11-17","cited_by_count":100},{"id":"2208.11857","title":"Shortcut Learning of Large Language Models in Natural Language Understanding","created":"2022-08-25","cited_by_count":85},{"id":"1902.01954","title":"A Neural Model for Generating Natural Language Summaries of Program Subroutines","created":"2019-02-05","cited_by_count":77},{"id":"2304.06815","title":"Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)","created":"2023-04-13","cited_by_count":72},{"id":"2304.11384","title":"Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning","created":"2023-04-22","cited_by_count":72},{"id":"1910.05923","title":"Code Generation as a Dual Task of Code Summarization","created":"2019-10-14","cited_by_count":62},{"id":"2312.15223","title":"A Survey on Large Language Models for Software Engineering","created":"2023-12-23","cited_by_count":59},{"id":"2012.14631","title":"Multi-task Learning based Pre-trained Language Model for Code Completion","created":"2020-12-29","cited_by_count":58},{"id":"1707.02275","title":"A parallel corpus of Python functions and documentation strings for automated code documentation and code generation","created":"2017-07-07","cited_by_count":57},{"id":"2301.03270","title":"A Survey of Learning-based Automated Program Repair","created":"2023-01-09","cited_by_count":55},{"id":"2107.07112","title":"On the Evaluation of Neural Code Summarization","created":"2021-07-15","cited_by_count":48},{"id":"2304.07575","title":"What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?","created":"2023-04-15","cited_by_count":47},{"id":"1904.02660","title":"Recommendations for Datasets for Source Code Summarization","created":"2019-04-04","cited_by_count":46},{"id":"2207.11680","title":"No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence","created":"2022-07-24","cited_by_count":41},{"id":"2405.01466","title":"A Systematic Literature Review on Large Language Models for Automated Program Repair","created":"2024-05-02","cited_by_count":37},{"id":"1910.10419","title":"Retrieve and Refine: Exemplar-based Neural Comment Generation","created":"2019-10-23","cited_by_count":36},{"id":"2004.04881","title":"Improved Automatic Summarization of Subroutines via Attention to File Context","created":"2020-04-10","cited_by_count":34},{"id":"2305.12865","title":"Automatic Code Summarization via ChatGPT: How Far Are We?","created":"2023-05-22","cited_by_count":34},{"id":"2108.12987","title":"CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees","created":"2021-08-30","cited_by_count":32},{"id":"2308.14731","title":"Distilled GPT for Source Code Summarization","created":"2023-08-28","cited_by_count":31},{"id":"2104.09340","title":"Code Structure Guided Transformer for Source Code Summarization","created":"2021-04-19","cited_by_count":30},{"id":"2401.06391","title":"Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation","created":"2024-01-12","cited_by_count":30},{"id":"2010.01410","title":"Code to Comment \"Translation\": Data, Metrics, Baselining & Evaluation","created":"2020-10-03","cited_by_count":29},{"id":"2012.14710","title":"Code Summarization with Structure-induced Transformer","created":"2020-12-29","cited_by_count":29},{"id":"2310.08879","title":"A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair","created":"2023-10-13","cited_by_count":29},{"id":"1906.08094","title":"Automatic Source Code Summarization with Extended Tree-LSTM","created":"2019-06-19","cited_by_count":28},{"id":"2103.11599","title":"Project-Level Encoding for Neural Source Code Summarization of Subroutines","created":"2021-03-22","cited_by_count":24},{"id":"2107.01933","title":"CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network","created":"2021-07-05","cited_by_count":22},{"id":"2108.00213","title":"Adversarial Robustness of Deep Code Comment Generation","created":"2021-07-31","cited_by_count":22},{"id":"2207.05579","title":"Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization","created":"2022-07-12","cited_by_count":22},{"id":"2103.07845","title":"Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting","created":"2021-03-14","cited_by_count":19},{"id":"1909.04352","title":"Automatic Code Summarization: A Systematic Literature Review","created":"2019-09-10","cited_by_count":18},{"id":"2206.07245","title":"An Extractive-and-Abstractive Framework for Source Code Summarization","created":"2022-06-15","cited_by_count":18},{"id":"2308.13775","title":"EditSum: A Retrieve-and-Edit Framework for Source Code Summarization","created":"2023-08-26","cited_by_count":18},{"id":"2201.05222","title":"Assemble Foundation Models for Automatic Code Summarization","created":"2022-01-13","cited_by_count":17},{"id":"2103.07164","title":"A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts","created":"2021-03-12","cited_by_count":16},{"id":"2202.06521","title":"Source Code Summarization with Structural Relative Position Guided Transformer","created":"2022-02-14","cited_by_count":14},{"id":"2203.09707","title":"M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code Summarization","created":"2022-03-18","cited_by_count":14},{"id":"2101.02742","title":"Action Word Prediction for Neural Source Code Summarization","created":"2021-01-07","cited_by_count":11},{"id":"2108.09619","title":"Impact of Evaluation Methodologies on Code Summarization","created":"2021-08-22","cited_by_count":11},{"id":"2103.10668","title":"API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations","created":"2021-03-19","cited_by_count":10},{"id":"2312.16066","title":"A Prompt Learning Framework for Source Code Summarization","created":"2023-12-26","cited_by_count":9},{"id":"2404.00287","title":"Evaluating Large Language Models for Line-Level Vulnerability Localization","created":"2024-03-30","cited_by_count":7},{"id":"2204.12916","title":"GypSum: Learning Hybrid Representations for Code Summarization","created":"2022-04-26","cited_by_count":5},{"id":"2210.11843","title":"Low-Resources Project-Specific Code Summarization","created":"2022-10-21","cited_by_count":2}],"next_cursor":null}