{"total":42,"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":"2405.03644","title":"When LLMs Meet Cybersecurity: A Systematic Literature Review","created":"2024-05-06","cited_by_count":71,"area":null},{"id":"2405.04760","title":"Large Language Models for Cyber Security: A Systematic Literature Review","created":"2024-05-08","cited_by_count":68,"area":null},{"id":"2310.01152","title":"Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives","created":"2023-10-02","cited_by_count":48,"area":null},{"id":"2502.07049","title":"LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights","created":"2025-02-10","cited_by_count":47,"area":null},{"id":"2405.18649","title":"LeDex: Training LLMs to Better Self-Debug and Explain Code","created":"2024-05-28","cited_by_count":40,"area":null},{"id":"2502.06215","title":"LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks","created":"2025-02-10","cited_by_count":37,"area":null},{"id":"2404.18353","title":"How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models","created":"2024-04-29","cited_by_count":24,"area":null},{"id":"2310.06046","title":"LLM for SoC Security: A Paradigm Shift","created":"2023-10-09","cited_by_count":22,"area":null},{"id":"2402.06598","title":"CigaR: Cost-efficient Program Repair with LLMs","created":"2024-02-09","cited_by_count":15,"area":null},{"id":"2311.13721","title":"Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning","created":"2023-11-22","cited_by_count":12,"area":null},{"id":"2401.03741","title":"Enhanced Automated Code Vulnerability Repair using Large Language Models","created":"2024-01-08","cited_by_count":10,"area":null},{"id":"2412.15004","title":"From Vulnerabilities to Remediation: A Systematic Literature Review of LLMs in Code Security","created":"2024-12-19","cited_by_count":10,"area":null},{"id":"2310.17903","title":"Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey","created":"2023-10-27","cited_by_count":9,"area":null},{"id":"2509.10858","title":"Large Language Models for Security Operations Centers: A Comprehensive Survey","created":"2025-09-13","cited_by_count":9,"area":null},{"id":"2402.11842","title":"CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking","created":"2024-02-19","cited_by_count":7,"area":null},{"id":"2504.18050","title":"Validating Network Protocol Parsers with Traceable RFC Document Interpretation","created":"2025-04-25","cited_by_count":7,"area":null},{"id":"2308.13062","title":"ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching","created":"2023-08-24","cited_by_count":6,"area":null},{"id":"2504.13515","title":"Large Language Models for Validating Network Protocol Parsers","created":"2025-04-18","cited_by_count":5,"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":"2410.07573","title":"RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?","created":"2024-10-10","cited_by_count":3,"area":null},{"id":"2512.14018","title":"PerfCoder: Large Language Models for Interpretable Code Performance Optimization","created":"2025-12-16","cited_by_count":3,"area":null},{"id":"2409.18395","title":"Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning","created":"2024-09-27","cited_by_count":2,"area":null},{"id":"2411.10842","title":"CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit","created":"2024-11-16","cited_by_count":2,"area":null},{"id":"2506.11561","title":"Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study","created":"2025-06-13","cited_by_count":2,"area":null},{"id":"2603.17826","title":"FailureMem: A Failure-Aware Multimodal Framework for Autonomous Software Repair","created":"2026-03-18","cited_by_count":2,"area":null},{"id":"2412.03815","title":"Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering","created":"2024-12-05","cited_by_count":1,"area":null},{"id":"2504.07027","title":"Using ML filters to help automated vulnerability repairs: when it helps and when it doesn't","created":"2025-04-09","cited_by_count":1,"area":null},{"id":"2505.13766","title":"A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards","created":"2025-05-19","cited_by_count":1,"area":null},{"id":"2506.04987","title":"A Multi-Dataset Evaluation of Models for Automated Vulnerability Repair","created":"2025-06-05","cited_by_count":1,"area":null},{"id":"2507.20977","title":"Repairing vulnerabilities without invisible hands. A differentiated replication study on LLMs","created":"2025-07-28","cited_by_count":1,"area":null},{"id":"2508.03487","title":"BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice","created":"2025-08-05","cited_by_count":1,"area":null},{"id":"2507.13629","title":"Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques","created":"2025-07-18","cited_by_count":0,"area":null},{"id":"2508.09332","title":"Teaching Code Refactoring Using LLMs","created":"2025-08-12","cited_by_count":0,"area":null},{"id":"2509.12649","title":"A Systematic Evaluation of Parameter-Efficient Fine-Tuning Methods for the Security of Code LLMs","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2511.23408","title":"Evaluating LLMs for One-Shot Patching of Real and Artificial Vulnerabilities","created":"2025-11-28","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":"2606.25973","title":"Helpful or Harmful? Evaluating LLM-Assisted Vulnerability Patching via a Human Study","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.02825","title":"JavaVulBench: A Java Vulnerability Benchmark with Realistic Splits, a Unified Multi-Backend Harness, and a Leakage-Aware Evaluation Mode","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2608.12246","title":"VICBench: A Multi-Language Benchmark for Code Vulnerability Detection","created":"2026-08-12","cited_by_count":0,"area":null},{"id":"2608.15092","title":"WeSCE: A Benchmark for Measuring Security Drift in LLM-Driven Code Editing","created":"2026-08-15","cited_by_count":0,"area":null},{"id":"2610.20245","title":"P2Patch: Exploit-Guided Vulnerability Repair","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}