{"total":26,"rows":[{"id":"2304.11938","title":"Is ChatGPT the Ultimate Programming Assistant -- How far is it?","created":"2023-04-24","cited_by_count":76,"area":null},{"id":"2305.12865","title":"Automatic Code Summarization via ChatGPT: How Far Are We?","created":"2023-05-22","cited_by_count":34,"area":null},{"id":"2104.09340","title":"Code Structure Guided Transformer for Source Code Summarization","created":"2021-04-19","cited_by_count":30,"area":null},{"id":"2109.08365","title":"CodeQA: A Question Answering Dataset for Source Code Comprehension","created":"2021-09-17","cited_by_count":30,"area":null},{"id":"2110.09610","title":"A Survey on Machine Learning Techniques for Source Code Analysis","created":"2021-10-18","cited_by_count":24,"area":null},{"id":"2205.11739","title":"Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code","created":"2022-05-24","cited_by_count":21,"area":null},{"id":"2206.07245","title":"An Extractive-and-Abstractive Framework for Source Code Summarization","created":"2022-06-15","cited_by_count":18,"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":"2203.09707","title":"M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code Summarization","created":"2022-03-18","cited_by_count":14,"area":null},{"id":"2103.10668","title":"API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations","created":"2021-03-19","cited_by_count":10,"area":null},{"id":"2407.01646","title":"ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization","created":"2024-07-01","cited_by_count":8,"area":null},{"id":"2203.11790","title":"Learning Program Semantics with Code Representations: An Empirical Study","created":"2022-03-22","cited_by_count":6,"area":null},{"id":"2204.12916","title":"GypSum: Learning Hybrid Representations for Code Summarization","created":"2022-04-26","cited_by_count":5,"area":null},{"id":"2312.00413","title":"Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We?","created":"2023-12-01","cited_by_count":5,"area":null},{"id":"2103.12778","title":"PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code","created":"2021-03-23","cited_by_count":4,"area":null},{"id":"2105.12287","title":"Database Workload Characterization with Query Plan Encoders","created":"2021-05-26","cited_by_count":4,"area":null},{"id":"2205.01293","title":"A Survey of Deep Learning Models for Structural Code Understanding","created":"2022-05-03","cited_by_count":4,"area":null},{"id":"2102.07660","title":"Comparative Code Structure Analysis using Deep Learning for Performance Prediction","created":"2021-02-12","cited_by_count":3,"area":null},{"id":"2212.05773","title":"A Survey on Natural Language Processing for Programming","created":"2022-12-12","cited_by_count":3,"area":null},{"id":"2405.19032","title":"Large Language Models for Code Summarization","created":"2024-05-29","cited_by_count":3,"area":null},{"id":"2303.01645","title":"APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation","created":"2023-03-03","cited_by_count":2,"area":null},{"id":"2206.08713","title":"Evaluating the Impact of Source Code Parsers on ML4SE Models","created":"2022-06-17","cited_by_count":1,"area":null},{"id":"2407.08890","title":"DeepCodeProbe: Towards Understanding What Models Trained on Code Learn","created":"2024-07-11","cited_by_count":1,"area":null},{"id":"2410.03210","title":"Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctness","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2504.08234","title":"Bringing Structure to Naturalness: On the Naturalness of ASTs","created":"2025-04-11","cited_by_count":1,"area":null},{"id":"2510.12082","title":"Enhancing Neural Code Representation with Additional Context","created":"2025-10-14","cited_by_count":0,"area":null}],"next_cursor":null}