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2026

Towards LLM-guided Semantic Validation of Autonomous Driving Safety PoliciesQingzhao Zhang 0001, Z. Morley Mao. llm4code 2026: 121-125 [doi]

Proceedings of the 3rd International Workshop on Large Language Models For Code, LLM4Code 2026, Rio de JaneiroBrazil, April 12-18, 2026ACM, 2026. [doi]

Benchmarking LLM Commit Message Generation through a Developer-centric Pairwise Preference FrameworkLucas Aguiar, Matheus Freitas, Matheus Paixão, Rafael Carmo. llm4code 2026: 105-112 [doi]

Do LLMs Dream of Energy-Efficient Code?Antimo Di Bernardo, Gianluca Capozzi, Pasquale De Rosa, Daniele Cono D'Elia, Leonardo Querzoni, Giuseppe Antonio Di Luna, Valerio Schiavoni. llm4code 2026: 82-89 [doi]

Learning Functional Equivalence via Supervised Contrastive Code-Problem AlignmentSiu Wun Cheung, Harshitha Menon. llm4code 2026: 51-58 [doi]

Statistical Independence Aware Caching for LLM WorkflowsYihan Dai, Dimitrios Stamatios Bouras, Haoxiang Jia, Sergey Mechtaev. llm4code 2026: 67-72 [doi]

A Spec-Driven Workflow for AI-Assisted Domain-Driven Development: Insights from PracticeJefferson de Barros Santos. llm4code 2026: 131-134 [doi]

LLM-Driven SQL Remediation: Towards Safe and Explainable Code for Automated Schema RefactoringAntony Seabra de Medeiros, Claudio Cavalcante, Nicolaas Ruberg, Sérgio Lifschitz. llm4code 2026: 143-150 [doi]

Code vs Serialized AST Inputs for LLM-Based Code Summarization: An Empirical StudyShijia Dong, Haoruo Zhao, Paul Harvey. llm4code 2026: 21-28 [doi]

MAsFL: Data-Secure, Efficient and Accurate Fault Localization with Multi-Agent Small Language ModelsDuong Pham Duc, Hiroshi Sato 0001, Masao Kubo. llm4code 2026: 167-174 [doi]

Evaluating LLMs-Driven Java Code Refactoring from a Developer's PerspectiveJavel Freitas, Guilherme Pereira, Lara Lima, Caio Rian de Sousa, Edivar Filho, José Cezar de Souza Filho, Paulo Henrique M. Maia, Carla I. M. Bezerra. llm4code 2026: 126-130 [doi]

Towards Improving in-IDE Code Completion for Driver DevelopmentBatuhan Raif Karagöz, Mahesh Jayasankar, Saurabh Bodhe, Subhayan Roy, Lejin Varghese, Yonas Bedasso, Max Kiehn. llm4code 2026: 135-142 [doi]

An Automated Methodology for Generating Labeled Datasets of Semantic Errors in CodeMahmoud Kassem, Francisco Ribeiro, Sarah Nadi. llm4code 2026: 14-20 [doi]

LLM-Powered On-Demand Test Suites in Self-Graded Student Programming AssignmentsChang Liu. llm4code 2026: 192-196 [doi]

Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical StudyMichele Merler, Rangeet Pan, Rahul Krishna, Tin Kam Ho, Raju Pavuluri, Maja Vukovic. llm4code 2026: 97-104 [doi]

RuberDuckBench: A Benchmark for AI Coding AssistantsFerida Mohammed, Fatma Ayad, Petros Maniatis, Satish Chandra 0001, Elizabeth Dinella. llm4code 2026: 113-120 [doi]

RAG Against the Machine: Zero-Shot Software Vulnerabilities Classification using LLMsEdvin Nordqvist, Changjie Wang, Simone Ferlin, Mariano Scazzariello, Marco Chiesa. llm4code 2026: 184-191 [doi]

Natural Language Summarization Enables Multi-Repository Bug Localization by LLMs in Microservice ArchitecturesAmirkia Rafiei Oskooei, Selcan Yukcu, Mehmet Cevheri Bozoglan, Mehmet S. Aktas. llm4code 2026: 197-205 [doi]

Code Roulette: How Prompt Variability Affects LLM Code GenerationAndrei Paleyes, Diana Robinson, Radzim Sendyka, Christian Cabrera 0001, Neil D. Lawrence. llm4code 2026: 59-66 [doi]

An Empirical Study of C to Rust Translation using Local Large-Language ModelsNathan Rutherford, Dan O'Keeffe. llm4code 2026: 151-158 [doi]

Continuous Benchmark Generation for Evaluating Enterprise-scale LLM AgentsDivyanshu Saxena, Rishikesh Maurya, Xiaoxuan Ou, Gagan Somashekar, Shachee Mishra Gupta, Arun Iyer, Yu Kang 0006, Chetan Bansal, Aditya Akella, Saravan Rajmohan. llm4code 2026: 1-5 [doi]

SecRepoBench: Benchmarking Code Agents for Secure Code Completion in Real-World RepositoriesChihao Shen, Connor Dilgren, Purva Chiniya, Luke Griffith, Yu Ding, Yizheng Chen. llm4code 2026: 159-166 [doi]

CP-Agent: Agentic Constraint ProgrammingStefan Szeider. llm4code 2026: 6-13 [doi]

Achieving Productivity Gains with AI-based IDE features: A Journey at GoogleMaxim Tabachnyk, Xu Shu, Alexander Frömmgen, Pavel Sychev, Vahid Meimand, Ilia Krets, Stanislav Pyatykh, Abner Araujo, Kristof Molnar, Satish Chandra 0001. llm4code 2026: 90-96 [doi]

English or Chinese? Investigating the Impact of Prompt Language on Large Language Models for Code SummarizationYijia Tang, Zhiqiu Huang, Jian Xie 0004, Yaoshen Yu, Bowei Xia, Enya Shen, Yukun Cao. llm4code 2026: 37-41 [doi]

The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship AttributionNorbert Tihanyi, Bilel Cherif, Richard A. Dubniczky, Mohamed Amine Ferrag, Lajos Balkanyi, Tamás Bisztray. llm4code 2026: 42-50 [doi]

An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient CodeSophie Weidmann, Fernando Castor. llm4code 2026: 73-81 [doi]

Multi-task Code LLMs: Data Mix or Model Merge?Mingzhi Zhu, Michele Merler, Boris Sobolev, Rahul Krishna, Raju Pavuluri, Stacy Patterson. llm4code 2026: 29-36 [doi]

Diverse LLMs vs. Vulnerabilities: Who Detects and Fixes Them Better?Arastoo Zibaeirad, Marco Vieira. llm4code 2026: 175-183 [doi]

2025

IEEE/ACM International Workshop on Large Language Models for Code, LLM4Code@ICSE 2025, Ottawa, ON, Canada, May 3, 2025IEEE, 2025. [doi]

Analysis of Student-LLM Interaction in a Software Engineering ProjectNaman Agrawal, Ridwan Shariffdeen, Guanlin Wang, Sanka Rasnayaka, Ganesh Neelakanta Iyer. llm4code 2025: 112-119 [doi]

Knowledge Graph Based Repository-Level Code GenerationMihir Athale, Vishal Vaddina. llm4code 2025: 169-176 [doi]

CoCoNUT: Structural Code Understanding does not fall out of a treeClaas Beger, Saikat Dutta 0001. llm4code 2025: 128-136 [doi]

COSMosFL: Ensemble of Small Language Models for Fault LocalisationHyunJoon Cho, Sungmin Kang, Gabin An, Shin Yoo. llm4code 2025: 17-24 [doi]

Automating the Detection of Code Vulnerabilities by Analyzing GitHub IssuesDaniele Cipollone, Changjie Wang, Mariano Scazzariello, Simone Ferlin, Maliheh Izadi, Dejan Kostic, Marco Chiesa. llm4code 2025: 41-48 [doi]

Hierarchical Repository-Level Code Summarization for Business Applications Using Local LLMsNilesh Dhulshette, Sapan Shah, Vinay Kulkarni 0001. llm4code 2025: 145-152 [doi]

Proving the Coding Interview: A Benchmark for Formally Verified Code GenerationQuinn Dougherty, Ronak Mehta. llm4code 2025: 72-79 [doi]

From Zero to Sixty at the Speed of RAG: Improving YAML Recipe Generation via RetrievalFarima Farmahinifarahani, Petr Babkin, Salwa Alamir, Xiaomo Liu. llm4code 2025: 49-56 [doi]

Training LLMs for Generating IEC 61131-3 Structured Text with Online FeedbackAaron Haag, Bertram Fuchs, Altay Kacan, Oliver Lohse. llm4code 2025: 65-71 [doi]

LLM-ProS: Analyzing Large Language Models' Performance in Competitive Problem SolvingMd. S. Hossain, Anika Tabassum, Md. Fahim Arefin, Tarannum Shaila Zaman. llm4code 2025: 80-87 [doi]

Cracks in The Stack: Hidden Vulnerabilities and Licensing Risks in LLM Pre-Training DatasetsMahmoud Jahanshahi, Audris Mockus. llm4code 2025: 104-111 [doi]

Evaluating Language Models for Computer Graphics Code CompletionJan Kels, Abdelhalim Hafedh Dahou, Brigitte Mathiak. llm4code 2025: 96-103 [doi]

Metamon: Finding Inconsistencies between Program Documentation and Behavior using Metamorphic LLM QueriesHyeonseok Lee, Gabin An, Shin Yoo. llm4code 2025: 120-127 [doi]

Code Summarization Beyond Function LevelVladimir Makharev, Vladimir Ivanov 0001. llm4code 2025: 153-160 [doi]

♪ With a Little Help from My (LLM) Friends: Enhancing Static Analysis with LLMs to Detect Software VulnerabilitiesAmy Munson, Juanita Gomez, Alvaro A. Cárdenas. llm4code 2025: 25-32 [doi]

Do Code LLMs Understand Design Patterns?Zhenyu Pan, Xuefeng Song, Yunkun Wang, Rongyu Cao, Binhua Li, Yongbin Li, Han Liu 0001. llm4code 2025: 209-212 [doi]

CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code GenerationJinjun Peng, Leyi Cui, Kele Huang, Junfeng Yang, Baishakhi Ray. llm4code 2025: 33-40 [doi]

Is More or Less Automation Better? An Investigation into the LLM4TDD ProcessSanyogita Piya, Anahita Samadi, Allison Sullivan. llm4code 2025: 161-168 [doi]

Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient PruningLaura Puccioni, Alireza Farshin, Mariano Scazzariello, Changjie Wang, Marco Chiesa, Dejan Kostic. llm4code 2025: 185-192 [doi]

The Shortcomings of Code LLMs in Modeling Code PropertiesSrivishnu Pyda, Daniel Nichols, Abhinav Bhatele. llm4code 2025: 193-199 [doi]

Are Large Language Models Memorizing Bug Benchmarks?Daniel Ramos, Cláudia Mamede, Kush Jain, Paulo Canelas, Catarina Gamboa, Claire Le Goues. llm4code 2025: 1-8 [doi]

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE FrameworksMurtuza Shahzad, Joseph Wilson, Ibrahim Al Azher, Hamed Alhoori, Mona Rahimi. llm4code 2025: 137-144 [doi]

RepairBench: Leaderboard of Frontier Models for Program RepairAndré Silva, Martin Monperrus. llm4code 2025: 9-16 [doi]

YABLoCo: Yet Another Benchmark for Long Context Code GenerationAidar Valeev, Roman Garaev, Vadim Lomshakov, Irina Piontkovskaya, Vladimir Ivanov 0001, Israel Adewuyi. llm4code 2025: 88-95 [doi]

From Scientific Texts to Verifiable Code: Automating the Process with TransformersChangjie Wang, Mariano Scazzariello, Marco Chiesa. llm4code 2025: 213-216 [doi]

SC-Bench: A Large-Scale Dataset for Smart Contract AuditingShihao Xia, Mengting He, Linhai Song, Yiying Zhang 0005. llm4code 2025: 57-64 [doi]

Mix-of-Language-Experts Architecture for Multilingual ProgrammingYifan Zong, Yuntian Deng, Pengyu Nie. llm4code 2025: 200-208 [doi]

2024

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static ContextYichen Li 0003, Yun Peng, Yintong Huo, Michael R. Lyu. llm4code 2024: 70-74 [doi]

Proceedings of the 1st International Workshop on Large Language Models for Code, LLM4Code 2024, Lisbon, Portugal, 20 April 2024ACM, 2024. [doi]

Toward a New Era of Rapid Development: Assessing GPT-4-Vision's Capabilities in UML-Based Code GenerationGábor Antal, Richárd Vozár, Rudolf Ferenc. llm4code 2024: 84-87 [doi]

Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration ToolsShreya Bhatia, Tarushi Gandhi, Dhruv Kumar 0001, Pankaj Jalote. llm4code 2024: 54-61 [doi]

Gauging Tech Community Acceptance of Rapid Prototyping in Unfamiliar Programming Languages using LLM ChatbotsKrerkkiat Chusap, Chang Liu 0028. llm4code 2024: 8-13 [doi]

Tackling Students' Coding Assignments with LLMsAdam Dingle, Martin Krulis. llm4code 2024: 94-101 [doi]

MoonBit: Explore the Design of an AI-Friendly Programming LanguageHaoxiang Fei, Yu Zhang, Hongbo Zhang, Yanlin Wang, Qing Liu. llm4code 2024: 79-83 [doi]

Translation of Low-Resource COBOL to Logically Correct and Readable Java leveraging High-Resource Java RefinementShubham Gandhi, Manasi Patwardhan 0001, Jyotsana Khatri, Lovekesh Vig, Raveendra Kumar Medicherla. llm4code 2024: 46-53 [doi]

Applying Large Language Models to Enhance the Assessment of Parallel Functional Programming AssignmentsSkyler Grandel, Douglas C. Schmidt, Kevin Leach. llm4code 2024: 102-110 [doi]

Evaluating Fault Localization and Program Repair Capabilities of Existing Closed-Source General-Purpose LLMsShengbei Jiang, Jiabao Zhang, Wei Chen, Bo Wang, Jianyi Zhou, Jie Zhang. llm4code 2024: 75-78 [doi]

LLM-based and Retrieval-Augmented Control Code GenerationHeiko Koziolek, Sten Grüner, Rhaban Hark, Virendra Ashiwal, Sofia Linsbauer, Nafise Eskandani. llm4code 2024: 22-29 [doi]

LLM-based Control Code Generation using Image RecognitionHeiko Koziolek, Anne Koziolek. llm4code 2024: 38-45 [doi]

Investigating the Proficiency of Large Language Models in Formative Feedback Generation for Student ProgrammersSmitha S. Kumar, Michael Adam Lones, Manuel Maarek, Hind Zantout. llm4code 2024: 88-93 [doi]

LLMs for Relational Reasoning: How Far are We?Zhiming Li, Yushi Cao, XiuFeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu. llm4code 2024: 119-126 [doi]

PromptSet: A Programmer's Prompting DatasetKaiser Pister, Dhruba Jyoti Paul, Ishan Joshi, Patrick Brophy. llm4code 2024: 62-69 [doi]

LLM4TDD: Best Practices for Test Driven Development Using Large Language ModelsSanyogita Piya, Allison Sullivan. llm4code 2024: 14-21 [doi]

Industrial Experience Report on AI-Assisted Coding in Professional Software DevelopmentRudolf Ramler, Michael Moser, Lukas Fischer 0001, Markus Nissl, René Heinzl. llm4code 2024: 1-7 [doi]

An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering ProjectSanka Rasnayaka, Guanlin Wang, Ridwan Shariffdeen, Ganesh Neelakanta Iyer. llm4code 2024: 111-118 [doi]

Semantically Aligned Question and Code Generation for Automated Insight GenerationAnanya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Z. Henley, Vu Le 0002, Chris Parnin, Mukul Singh, Gust Verbruggen. llm4code 2024: 127-134 [doi]

Learn to Code Sustainably: An Empirical Study on Green Code GenerationTina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen. llm4code 2024: 30-37 [doi]

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