{"total":21,"rows":[{"id":"2308.10620","title":"Large Language Models for Software Engineering: A Systematic Literature Review","created":"2023-08-21","cited_by_count":399,"area":null},{"id":"2406.01297","title":"When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs","created":"2024-06-03","cited_by_count":240,"area":null},{"id":"2402.05121","title":"Large Language Model for Table Processing: A Survey","created":"2024-02-04","cited_by_count":52,"area":null},{"id":"2410.01215","title":"From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging","created":"2024-10-02","cited_by_count":46,"area":null},{"id":"2405.15189","title":"EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization","created":"2024-05-24","cited_by_count":30,"area":null},{"id":"2308.10345","title":"Can Large Language Models Find And Fix Vulnerable Software?","created":"2023-08-20","cited_by_count":15,"area":null},{"id":"2401.05319","title":"Leveraging Print Debugging to Improve Code Generation in Large Language Models","created":"2024-01-10","cited_by_count":15,"area":null},{"id":"2506.11930","title":"Feedback Friction: LLMs Struggle to Fully Incorporate External Feedback","created":"2025-06-13","cited_by_count":11,"area":null},{"id":"2506.10948","title":"Execution Guided Line-by-Line Code Generation","created":"2025-06-12","cited_by_count":10,"area":null},{"id":"2506.06821","title":"Can LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems","created":"2025-06-07","cited_by_count":9,"area":null},{"id":"2407.08642","title":"Towards Building Specialized Generalist AI with System 1 and System 2 Fusion","created":"2024-07-11","cited_by_count":8,"area":null},{"id":"2604.10508","title":"How Many Tries Does It Take? Iterative Self-Repair in LLM Code Generation Across Model Scales and Benchmarks","created":"2026-04-12","cited_by_count":5,"area":null},{"id":"2311.17972","title":"Self-Infilling Code Generation","created":"2023-11-29","cited_by_count":3,"area":null},{"id":"2407.13164","title":"Translate-and-Revise: Boosting Large Language Models for Constrained Translation","created":"2024-07-18","cited_by_count":2,"area":null},{"id":"2410.15966","title":"Self-Explained Keywords Empower Large Language Models for Code Generation","created":"2024-10-21","cited_by_count":2,"area":null},{"id":"2504.15080","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","created":"2025-04-21","cited_by_count":2,"area":null},{"id":"2506.18315","title":"Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback","created":"2025-06-23","cited_by_count":2,"area":null},{"id":"2402.03699","title":"Automatic Robotic Development through Collaborative Framework by Large Language Models","created":"2024-02-06","cited_by_count":1,"area":null},{"id":"2606.17514","title":"Unlocking LLM Code Correction with Iterative Feedback Loops","created":"2026-06-16","cited_by_count":1,"area":null},{"id":"2507.12482","title":"Kodezi Chronos: A Debugging-First Language Model for Repository-Scale Code Understanding","created":"2025-07-14","cited_by_count":0,"area":null},{"id":"2608.13767","title":"Simulation-Aware In-Context Policy Improvement for LLM-Aided Analog Layout Refinement","created":"2026-08-13","cited_by_count":0,"area":null}],"next_cursor":null}