{"total":97,"rows":[{"id":"2306.08568","title":"WizardCoder: Empowering Code Large Language Models with Evol-Instruct","created":"2023-06-14","cited_by_count":733,"area":null},{"id":"2406.00515","title":"A Survey on Large Language Models for Code Generation","created":"2024-06-01","cited_by_count":658,"area":null},{"id":"2306.11644","title":"Textbooks Are All You Need","created":"2023-06-20","cited_by_count":569,"area":null},{"id":"2402.06196","title":"Large Language Models: A Survey","created":"2024-02-09","cited_by_count":525,"area":null},{"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":"2305.07922","title":"CodeT5+: Open Code Large Language Models for Code Understanding and Generation","created":"2023-05-13","cited_by_count":333,"area":null},{"id":"2404.16789","title":"Continual Learning of Large Language Models: A Comprehensive Survey","created":"2024-04-25","cited_by_count":234,"area":null},{"id":"2308.07124","title":"OctoPack: Instruction Tuning Code Large Language Models","created":"2023-08-14","cited_by_count":189,"area":null},{"id":"2402.16347","title":"CodeS: Towards Building Open-source Language Models for Text-to-SQL","created":"2024-02-26","cited_by_count":187,"area":null},{"id":"2310.11248","title":"CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion","created":"2023-10-17","cited_by_count":183,"area":null},{"id":"2411.04905","title":"OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models","created":"2024-11-07","cited_by_count":130,"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":"2402.03375","title":"BetterV: Controlled Verilog Generation with Discriminative Guidance","created":"2024-02-03","cited_by_count":100,"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":"2402.00097","title":"Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM","created":"2024-01-31","cited_by_count":64,"area":null},{"id":"2311.07989","title":"Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code","created":"2023-11-14","cited_by_count":62,"area":null},{"id":"2310.08992","title":"CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules","created":"2023-10-13","cited_by_count":58,"area":null},{"id":"2309.00608","title":"Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair","created":"2023-09-01","cited_by_count":55,"area":null},{"id":"2309.14345","title":"Bias Testing and Mitigation in LLM-based Code Generation","created":"2023-09-03","cited_by_count":53,"area":null},{"id":"2402.02047","title":"Calibration and Correctness of Language Models for Code","created":"2024-02-03","cited_by_count":49,"area":null},{"id":"2308.09895","title":"Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs","created":"2023-08-19","cited_by_count":45,"area":null},{"id":"2401.17010","title":"Finetuning Large Language Models for Vulnerability Detection","created":"2024-01-30","cited_by_count":40,"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":"2311.00889","title":"SALLM: Security Assessment of Generated Code","created":"2023-11-01","cited_by_count":39,"area":null},{"id":"2312.13671","title":"Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries","created":"2023-12-21","cited_by_count":38,"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":"2407.18333","title":"AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs","created":"2024-07-21","cited_by_count":36,"area":null},{"id":"2502.20576","title":"OmniRouter: Budget and Performance Controllable Multi-LLM Routing","created":"2025-02-27","cited_by_count":35,"area":null},{"id":"2411.12644","title":"CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval","created":"2024-11-19","cited_by_count":34,"area":null},{"id":"2401.03003","title":"AST-T5: Structure-Aware Pretraining for Code Generation and Understanding","created":"2024-01-05","cited_by_count":33,"area":null},{"id":"2407.18269","title":"LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits","created":"2024-07-19","cited_by_count":33,"area":null},{"id":"2402.14323","title":"REPOFUSE: Repository-Level Code Completion with Fused Dual Context","created":"2024-02-22","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":"2308.10462","title":"Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models","created":"2023-08-21","cited_by_count":28,"area":null},{"id":"2401.06461","title":"Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers","created":"2024-01-12","cited_by_count":27,"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":"2308.16458","title":"BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language Models","created":"2023-08-31","cited_by_count":25,"area":null},{"id":"2404.03543","title":"CodeEditorBench: Evaluating Code Editing Capability of Large Language Models","created":"2024-04-04","cited_by_count":23,"area":null},{"id":"2309.17446","title":"L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models","created":"2023-09-29","cited_by_count":22,"area":null},{"id":"2310.06046","title":"LLM for SoC Security: A Paradigm Shift","created":"2023-10-09","cited_by_count":22,"area":null},{"id":"2307.03817","title":"Exploring and Characterizing Large Language Models For Embedded System Development and Debugging","created":"2023-07-07","cited_by_count":20,"area":null},{"id":"2406.19783","title":"NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations","created":"2024-06-28","cited_by_count":20,"area":null},{"id":"2412.11990","title":"ExecRepoBench: Multi-level Executable Code Completion Evaluation","created":"2024-12-16","cited_by_count":20,"area":null},{"id":"2405.04520","title":"NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts","created":"2024-05-07","cited_by_count":19,"area":null},{"id":"2502.19166","title":"CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation","created":"2025-02-26","cited_by_count":19,"area":null},{"id":"2505.08137","title":"Large Language Models for Computer-Aided Design: A Survey","created":"2025-05-13","cited_by_count":18,"area":null},{"id":"2401.03374","title":"LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward","created":"2024-01-07","cited_by_count":16,"area":null},{"id":"2403.06095","title":"RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion","created":"2024-03-10","cited_by_count":15,"area":null},{"id":"2406.04379","title":"VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation","created":"2024-06-06","cited_by_count":15,"area":null},{"id":"2410.02425","title":"LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services","created":"2024-10-03","cited_by_count":14,"area":null},{"id":"2503.13572","title":"VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination","created":"2025-03-17","cited_by_count":12,"area":null},{"id":"2310.05727","title":"The Program Testing Ability of Large Language Models for Code","created":"2023-10-09","cited_by_count":11,"area":null},{"id":"2402.15100","title":"Studying LLM Performance on Closed- and Open-source Data","created":"2024-02-23","cited_by_count":11,"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":"2401.07031","title":"Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models","created":"2024-01-13","cited_by_count":10,"area":null},{"id":"2410.22296","title":"Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks","created":"2024-10-29","cited_by_count":10,"area":null},{"id":"2404.10155","title":"The Fault in our Stars: Quality Assessment of Code Generation Benchmarks","created":"2024-04-15","cited_by_count":9,"area":null},{"id":"2405.11928","title":"\"Set It Up!\": Functional Object Arrangement with Compositional Generative Models","created":"2024-05-20","cited_by_count":9,"area":null},{"id":"2406.01359","title":"R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models","created":"2024-06-03","cited_by_count":9,"area":null},{"id":"2312.05657","title":"PerfRL: A Small Language Model Framework for Efficient Code Optimization","created":"2023-12-09","cited_by_count":8,"area":null},{"id":"2401.15545","title":"PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models","created":"2024-01-28","cited_by_count":8,"area":null},{"id":"2407.02518","title":"INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness","created":"2024-06-23","cited_by_count":8,"area":null},{"id":"2504.18884","title":"A Simple Ensemble Strategy for LLM Inference: Towards More Stable Text Classification","created":"2025-04-26","cited_by_count":8,"area":null},{"id":"2512.00020","title":"Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead","created":"2025-10-29","cited_by_count":8,"area":null},{"id":"2401.07870","title":"JumpCoder: Go Beyond Autoregressive Coder via Online Modification","created":"2024-01-15","cited_by_count":7,"area":null},{"id":"2403.08281","title":"Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models","created":"2024-03-13","cited_by_count":7,"area":null},{"id":"2411.04981","title":"Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries","created":"2024-11-07","cited_by_count":6,"area":null},{"id":"2402.03396","title":"UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing","created":"2024-02-04","cited_by_count":5,"area":null},{"id":"2404.09022","title":"Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies","created":"2024-04-13","cited_by_count":5,"area":null},{"id":"2407.13069","title":"Dynamic Sentiment Analysis with Local Large Language Models using Majority Voting: A Study on Factors Affecting Restaurant Evaluation","created":"2024-07-18","cited_by_count":5,"area":null},{"id":"2405.01567","title":"CodeFort: Robust Training for Code Generation Models","created":"2024-04-11","cited_by_count":4,"area":null},{"id":"2405.08704","title":"Full Line Code Completion: Bringing AI to Desktop","created":"2024-05-14","cited_by_count":4,"area":null},{"id":"2409.00571","title":"Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs","created":"2024-09-01","cited_by_count":4,"area":null},{"id":"2507.00322","title":"Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones","created":"2025-06-30","cited_by_count":4,"area":null},{"id":"2509.19117","title":"LLM-based Vulnerability Discovery through the Lens of Code Metrics","created":"2025-09-23","cited_by_count":4,"area":null},{"id":"2306.11943","title":"Towards Understanding What Code Language Models Learned","created":"2023-06-20","cited_by_count":3,"area":null},{"id":"2311.17972","title":"Self-Infilling Code Generation","created":"2023-11-29","cited_by_count":3,"area":null},{"id":"2409.04597","title":"Detecting Buggy Contracts via Smart Testing","created":"2024-09-06","cited_by_count":3,"area":null},{"id":"2411.02462","title":"Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study","created":"2024-11-04","cited_by_count":3,"area":null},{"id":"2411.17204","title":"Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks","created":"2024-11-26","cited_by_count":3,"area":null},{"id":"2508.10074","title":"Next Edit Prediction: Learning to Predict Code Edits from Context and Interaction History","created":"2025-08-13","cited_by_count":3,"area":null},{"id":"2407.10626","title":"NoviCode: Generating Programs from Natural Language Utterances by Novices","created":"2024-07-15","cited_by_count":2,"area":null},{"id":"2504.21043","title":"CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain","created":"2025-04-28","cited_by_count":2,"area":null},{"id":"2407.03941","title":"Narrow Transformer: StarCoder-Based Java-LM For Desktop","created":"2024-07-04","cited_by_count":1,"area":null},{"id":"2601.15879","title":"Evaluating and Achieving Controllable Code Completion in Code LLM","created":"2026-01-22","cited_by_count":1,"area":null},{"id":"2405.15729","title":"Optimizing Large Language Models for OpenAPI Code Completion","created":"2024-05-24","cited_by_count":0,"area":null},{"id":"2406.13877","title":"A Systematic Literature Review on the Use of Machine Learning in Software Engineering","created":"2024-06-19","cited_by_count":0,"area":null},{"id":"2410.23894","title":"Metamorphic Malware Evolution: The Potential and Peril of Large Language Models","created":"2024-10-31","cited_by_count":0,"area":null},{"id":"2412.07213","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","created":"2024-12-10","cited_by_count":0,"area":null},{"id":"2503.14936","title":"Enhancing Code LLM Training with Programmer Attention","created":"2025-03-19","cited_by_count":0,"area":null},{"id":"2507.08540","title":"White-Basilisk: A Hybrid Model for Code Vulnerability Detection","created":"2025-07-11","cited_by_count":0,"area":null},{"id":"2507.08992","title":"Semantic Source Code Segmentation using Small and Large Language Models","created":"2025-07-11","cited_by_count":0,"area":null},{"id":"2507.20078","title":"Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection","created":"2025-07-26","cited_by_count":0,"area":null},{"id":"2509.07909","title":"Uncovering Scaling Laws for Large Language Models via Inverse Problems","created":"2025-09-09","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":"2510.15480","title":"Selecting and Combining Large Language Models for Scalable Code Clone Detection","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2604.00239","title":"A Taxonomy of Programming Languages for Code Generation","created":"2026-03-31","cited_by_count":0,"area":null}],"next_cursor":null}