{"total":68,"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":"2403.18105","title":"Large Language Models for Education: A Survey and Outlook","created":"2024-03-26","cited_by_count":188,"area":null},{"id":"2212.09420","title":"Large Language Models Meet NL2Code: A Survey","created":"2022-12-19","cited_by_count":138,"area":null},{"id":"2404.00971","title":"Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code","created":"2024-04-01","cited_by_count":107,"area":null},{"id":"2303.10868","title":"Retrieving Multimodal Information for Augmented Generation: A Survey","created":"2023-03-20","cited_by_count":85,"area":null},{"id":"2502.06193","title":"Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering","created":"2025-02-10","cited_by_count":67,"area":null},{"id":"2312.12450","title":"Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions","created":"2023-12-11","cited_by_count":48,"area":null},{"id":"2308.11148","title":"LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning","created":"2023-08-22","cited_by_count":47,"area":null},{"id":"2311.08588","title":"CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation","created":"2023-11-14","cited_by_count":39,"area":null},{"id":"2405.02213","title":"Automatic Programming: Large Language Models and Beyond","created":"2024-05-03","cited_by_count":36,"area":null},{"id":"2307.02503","title":"Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review","created":"2023-07-04","cited_by_count":32,"area":null},{"id":"2402.06853","title":"History, Development, and Principles of Large Language Models-An Introductory Survey","created":"2024-02-10","cited_by_count":30,"area":null},{"id":"2401.15963","title":"NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness","created":"2024-01-29","cited_by_count":26,"area":null},{"id":"2402.08699","title":"Unsupervised Evaluation of Code LLMs with Round-Trip Correctness","created":"2024-02-13","cited_by_count":23,"area":null},{"id":"2308.07655","title":"From Commit Message Generation to History-Aware Commit Message Completion","created":"2023-08-15","cited_by_count":16,"area":null},{"id":"2405.13565","title":"AI-Assisted Assessment of Coding Practices in Modern Code Review","created":"2024-05-22","cited_by_count":16,"area":null},{"id":"2301.13779","title":"FLAME: A small language model for spreadsheet formulas","created":"2023-01-31","cited_by_count":15,"area":null},{"id":"2503.22688","title":"CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation","created":"2025-03-05","cited_by_count":15,"area":null},{"id":"2304.03816","title":"Towards Generating Functionally Correct Code Edits from Natural Language Issue Descriptions","created":"2023-04-07","cited_by_count":14,"area":null},{"id":"2307.14349","title":"Copilot for Xcode: Exploring AI-Assisted Programming by Prompting Cloud-based Large Language Models","created":"2023-07-08","cited_by_count":11,"area":null},{"id":"2307.14991","title":"Multilingual Code Co-Evolution Using Large Language Models","created":"2023-07-27","cited_by_count":9,"area":null},{"id":"2302.04048","title":"Automating Code-Related Tasks Through Transformers: The Impact of Pre-training","created":"2023-02-08","cited_by_count":8,"area":null},{"id":"2411.10129","title":"Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation","created":"2024-11-15","cited_by_count":7,"area":null},{"id":"2502.06633","title":"Combining Large Language Models with Static Analyzers for Code Review Generation","created":"2025-02-10","cited_by_count":6,"area":null},{"id":"2510.14509","title":"E2Edev: Benchmarking Large Language Models in End-to-End Software Development Task","created":"2025-10-16","cited_by_count":6,"area":null},{"id":"2601.01129","title":"RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian","created":"2026-01-03","cited_by_count":6,"area":null},{"id":"2510.26457","title":"SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning","created":"2025-10-30","cited_by_count":5,"area":null},{"id":"2601.19494","title":"AACR-Bench: Evaluating Automatic Code Review with Holistic Repository-Level Context","created":"2026-01-27","cited_by_count":5,"area":null},{"id":"2310.09690","title":"Configuration Validation with Large Language Models","created":"2023-10-15","cited_by_count":4,"area":null},{"id":"2409.10959","title":"Leveraging Reviewer Experience in Code Review Comment Generation","created":"2024-09-17","cited_by_count":4,"area":null},{"id":"2503.05860","title":"Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Unified Approach for Elevating Benchmark Quality","created":"2025-03-07","cited_by_count":4,"area":null},{"id":"2508.08661","title":"Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics","created":"2025-08-12","cited_by_count":4,"area":null},{"id":"2401.07518","title":"Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends","created":"2024-01-15","cited_by_count":3,"area":null},{"id":"2503.16167","title":"CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models","created":"2025-03-20","cited_by_count":3,"area":null},{"id":"2505.17928","title":"Towards Practical Defect-Focused Automated Code Review","created":"2025-05-23","cited_by_count":3,"area":null},{"id":"2509.21631","title":"Towards Transparent AI: A Survey on Explainable Language Models","created":"2025-09-25","cited_by_count":3,"area":null},{"id":"2510.17389","title":"EduAdapt: A Question Answer Benchmark Dataset for Evaluating Grade-Level Adaptability in LLMs","created":"2025-10-20","cited_by_count":3,"area":null},{"id":"2603.18740","title":"Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review","created":"2026-03-19","cited_by_count":3,"area":null},{"id":"2407.17065","title":"PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open-Source Software","created":"2024-07-24","cited_by_count":2,"area":null},{"id":"2501.08558","title":"LAMS: LLM-Driven Automatic Mode Switching for Assistive Teleoperation","created":"2025-01-15","cited_by_count":2,"area":null},{"id":"2509.25203","title":"Generating High-Quality Datasets for Code Editing via Open-Source Language Models","created":"2025-09-19","cited_by_count":2,"area":null},{"id":"2603.26130","title":"SWE-PRBench: Benchmarking AI Code Review Quality Against Pull Request Feedback","created":"2026-03-27","cited_by_count":2,"area":null},{"id":"2303.07826","title":"Implant Global and Local Hierarchy Information to Sequence based Code Representation Models","created":"2023-03-14","cited_by_count":1,"area":null},{"id":"2308.08943","title":"Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We?","created":"2023-08-17","cited_by_count":1,"area":null},{"id":"2406.10141","title":"The Rise and Fall(?) of Software Engineering","created":"2024-06-14","cited_by_count":1,"area":null},{"id":"2409.01382","title":"Automatic Detection of LLM-Generated Code: A Comparative Case Study of Contemporary Models Across Function and Class Granularities","created":"2024-09-02","cited_by_count":1,"area":null},{"id":"2508.18003","title":"Previously on... Automating Code Review","created":"2025-08-25","cited_by_count":1,"area":null},{"id":"2510.17163","title":"TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Framework","created":"2025-10-20","cited_by_count":1,"area":null},{"id":"2601.22597","title":"TimeMachine-bench: A Benchmark for Evaluating Model Capabilities in Repository-Level Migration Tasks","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2602.07457","title":"Pull Requests as a Training Signal for Repo-Level Code Editing","created":"2026-02-07","cited_by_count":1,"area":null},{"id":"2610.01471","title":"When Does a Second Model Help? Cross-Model Review in LLM Verification","created":"2026-10-01","cited_by_count":1,"area":null},{"id":"2406.04346","title":"Automating Patch Set Generation from Code Review Comments Using Large Language Models","created":"2024-04-10","cited_by_count":0,"area":null},{"id":"2410.15285","title":"Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework","created":"2024-10-20","cited_by_count":0,"area":null},{"id":"2410.21673","title":"Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review","created":"2024-10-29","cited_by_count":0,"area":null},{"id":"2507.13499","title":"AI-Assisted Fixes to Code Review Comments at Scale","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2507.19271","title":"Fine-Tuning Multilingual Language Models for Code Review: An Empirical Study on Industrial C# Projects","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2508.02732","title":"A Note on Code Quality Score: LLMs for Maintainable Large Codebases","created":"2025-08-01","cited_by_count":0,"area":null},{"id":"2508.09832","title":"Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification","created":"2025-08-13","cited_by_count":0,"area":null},{"id":"2510.26402","title":"Autograder+: A Multi-Faceted AI Framework for Rich Pedagogical Feedback in Programming Education","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2512.15466","title":"On Assessing the Relevance of Code Reviews Authored by Generative Models","created":"2025-12-17","cited_by_count":0,"area":null},{"id":"2601.06497","title":"Coding in a Bubble? Evaluating LLMs in Resolving Context Adaptation Bugs During Code Adaptation","created":"2026-01-10","cited_by_count":0,"area":null},{"id":"2602.10808","title":"PELLI: Framework to effectively integrate LLMs for quality software generation","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2604.06723","title":"Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2606.29088","title":"Diff-Based Code Corruption using LLMs for Large-Scale Bugfix Benchmarking","created":"2026-06-27","cited_by_count":0,"area":null},{"id":"2607.12713","title":"Line-Anchored Feedback Cuts Token Costs and Improves Correctness in AI Code Editing","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2608.21107","title":"Large Language Models at the Intersection of Software Engineering and Software Security:An Evidence-Centered Structured Survey and Research Agenda","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2608.27442","title":"From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.37216","title":"CRJudgeBench: Can AI Detect Plausible but Invalid Code Reviews?","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}