{"total":21,"rows":[{"id":"2310.06770","title":"SWE-bench: Can Language Models Resolve Real-World GitHub Issues?","created":"2023-10-10","cited_by_count":3373,"area":null},{"id":"2112.02125","title":"Examining Zero-Shot Vulnerability Repair with Large Language Models","created":"2021-12-03","cited_by_count":105,"area":null},{"id":"2403.08937","title":"Bugs in Large Language Models Generated Code: An Empirical Study","created":"2024-03-13","cited_by_count":60,"area":null},{"id":"2106.08253","title":"A Syntax-Guided Edit Decoder for Neural Program Repair","created":"2021-06-15","cited_by_count":57,"area":null},{"id":"2103.12535","title":"NNrepair: Constraint-based Repair of Neural Network Classifiers","created":"2021-03-23","cited_by_count":26,"area":null},{"id":"2403.11671","title":"HDLdebugger: Streamlining HDL debugging with Large Language Models","created":"2024-03-18","cited_by_count":26,"area":null},{"id":"2206.07796","title":"FixEval: Execution-based Evaluation of Program Fixes for Programming Problems","created":"2022-06-15","cited_by_count":17,"area":null},{"id":"2304.12015","title":"ITER: Iterative Neural Repair for Multi-Location Patches","created":"2023-04-24","cited_by_count":16,"area":null},{"id":"2404.08877","title":"Aligning the Objective of LLM-based Program Repair","created":"2024-04-13","cited_by_count":12,"area":null},{"id":"2212.11414","title":"Improving Automated Program Repair with Domain Adaptation","created":"2022-12-21","cited_by_count":10,"area":null},{"id":"2107.13296","title":"Predicting Patch Correctness Based on the Similarity of Failing Test Cases","created":"2021-07-28","cited_by_count":4,"area":null},{"id":"2108.07129","title":"Autoencoders as Tools for Program Synthesis","created":"2021-08-16","cited_by_count":4,"area":null},{"id":"2401.07994","title":"Assessing the Latent Automated Program Repair Capabilities of Large Language Models using Round-Trip Translation","created":"2024-01-15","cited_by_count":3,"area":null},{"id":"2202.03055","title":"Enabling Automatic Repair of Source Code Vulnerabilities Using Data-Driven Methods","created":"2022-02-07","cited_by_count":1,"area":null},{"id":"2205.13342","title":"Leveraging Causal Inference for Explainable Automatic Program Repair","created":"2022-05-26","cited_by_count":1,"area":null},{"id":"2308.12445","title":"An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems","created":"2023-08-23","cited_by_count":1,"area":null},{"id":"2510.13561","title":"OpenDerisk: An Industrial Framework for AI-Driven SRE, with Design, Implementation, and Case Studies","created":"2025-10-15","cited_by_count":1,"area":null},{"id":"2203.13612","title":"Repairing Group-Level Errors for DNNs Using Weighted Regularization","created":"2022-03-24","cited_by_count":0,"area":null},{"id":"2404.04821","title":"A Data-to-Product Multimodal Conceptual Framework to Achieve Automated Software Evolution for Context-rich Intelligent Applications","created":"2024-04-07","cited_by_count":0,"area":null},{"id":"2502.20806","title":"Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving Systems","created":"2025-02-28","cited_by_count":0,"area":null},{"id":"2507.19743","title":"What Makes Code Generation Ethically Sourced?","created":"2025-07-26","cited_by_count":0,"area":null}],"next_cursor":null}