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title Accepted Papers
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<style> table th:first-of-type { width: 43.1%; } table th:nth-of-type(2) { width: 56.9%; } </style>
Title Authors
A Benchmark for Language Models in Real-World System Building Weilin聽Jin, Chenyu聽Zhao, Zeshun聽Huang, Chaoyun聽Zhang, Qingwei聽Lin, Chetan聽Bansal, Saravan聽Rajmohan, Shenglin聽Zhang, Yongqian聽Sun, Dan聽Pei, Yifan聽Wu, Tong聽Jia, Ying聽Li, Zhonghai聽Wu, Minghua聽Ma
A Spec-Driven Workflow for AI-Assisted Domain-Driven Development: Insights from Practice 馃摑 Jefferson de Barros聽Santos
Achieving Productivity Gains with AI-based IDE features: A Journey at Google Maxim聽Tabachnyk, Xu聽Shu, Alexander聽Fr枚mmgen, Pavel聽Sychev, Vahid聽Meimand, Ilia聽Krets, Stanislav聽Pyatykh, Abner聽Araujo, Kristof聽Molnar, Satish聽Chandra
An Automated Methodology for Generating Labeled Datasets of Semantic Errors in Code Mahmoud聽Kassem, Francisco聽Ribeiro, Sarah聽Nadi
An Empirical Study of C to Rust Translation using Local Large-Language Models Nathan聽Rutherford, Dan聽O'Keeffe
An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code Sophie聽Weidmann, Fernando聽Castor
Benchmarking LLM Commit Message Generation through a Developer-centric Pairwise Preference Framework Lucas聽Aguiar, Matheus聽Freitas, Matheus聽Paixao, Rafael聽Carmo
Code Roulette: How Prompt Variability Affects LLM Code Generation Andrei聽Paleyes, Diana聽Robinson, Radzim聽Sendyka, Christian聽Cabrera, Neil D.聽Lawrence
Code vs Serialized AST Inputs for LLM-Based Code Summarization: An Empirical Study Shijia聽Dong, Haoruo聽Zhao, Paul聽Harvey
ContextPilot: Code Context Engineering with Memory-Augmented Exploration Agents 馃摑 Shuzheng聽Gao, Chaozheng聽Wang, Shuqing聽Li, Yun聽Peng, Michael R.聽Lyu
Continuous Benchmark Generation for Evaluating Enterprise-scale LLM Agents 馃摑 Divyanshu聽Saxena, Rishikesh聽Maurya, Xiaoxuan聽Ou, Gagan聽Somashekar, Shachee Mishra聽Gupta, Arun聽Iyer, Yu聽Kang, Chetan聽Bansal, Aditya聽Akella, Saravan聽Rajmohan
CP-Agent: Agentic Constraint Programming Stefan聽Szeider
Diverse LLMs vs. Vulnerabilities: Who Detects and Fixes Them Better? Arastoo聽Zibaeirad, Marco聽Vieira
Do LLMs Dream of Energy-Efficient Code? Antimo Di聽Bernardo, Gianluca聽Capozzi, Pasquale De聽Rosa, Daniele Cono聽D'Elia, Leonardo聽Querzoni, Giuseppe Antonio Di聽Luna, Valerio聽Schiavoni
English or Chinese? Investigating the Impact of Prompt Language on Large Language Models for Code Summarization 馃摑 Yijia聽Tang, Zhiqiu聽Huang, Jian聽Xie, Yaoshen聽Yu, Bowei聽Xia, Enya聽Shen, Yukun聽Cao
Evaluating LLMs-Driven Java Code Refactoring from a Developer鈥檚 Perspective 馃挰 Javel聽Freitas, Guilherme聽Pereira, Lara聽Lima, Caio Rian de聽Sousa, Edivar聽Filho, Jos茅 Cezar de Souza聽Filho, Paulo Henrique聽Maia, Carla聽Bezerra
Learning Functional Equivalence via Supervised Contrastive Code-Problem Alignment Siu Wun聽Cheung, Harshitha聽Menon
LLM-Driven SQL Remediation: Towards Safe and Explainable Code for Automated Schema Refactoring Antony聽Medeiros, Claudio聽Cavalcante, Nicolaas聽Ruberg, Sergio聽Lifschitz
LLM-Powered On-Demand Test Suites in Self-Graded Student Programming Assignments 馃挰 Chang聽Liu
MAsFL: Data-Secure, Efficient and Accurate Fault Localization with Multi-Agent Small Language Models DUONG PHAM聽DUC, HIROSHI聽SATO, MASAO聽KUBO
Multi-task Code LLMs: Data Mix or Model Merge? Mingzhi聽Zhu, Michele聽Merler, Stacy聽Patterson, Raju聽Pavuluri, Rahul聽Krishna, Boris聽Sobolev
Natural Language Summarization Enables Multi-Repository Bug Localization by LLMs in Microservice Architectures Amirkia Rafiei聽Oskooei, S. Selcan聽Yukcu, Mehmet Cevheri聽Bozoglan, Mehmet S.聽Aktas
RAG Against the Machine: Zero-Shot Software Vulnerabilities Classification using LLMs Edvin聽Nordqvist, Changjie聽Wang, Simone聽Ferlin, Mariano聽Scazzariello, Marco聽Chiesa
RubberDuckBench: A Benchmark for AI Coding Assistants Elizabeth聽Dinella, Ferida聽Mohammed, Fatma聽Ayad, Satish聽Chandra, Petros聽Maniatis
SecRepoBench: Benchmarking Code Agents for Secure Code Completion in Real-World Repositories Chihao聽Shen, Connor聽Dilgren, Purva聽Chiniya, Luke聽Griffith, Yu聽Ding, Yizheng聽Chen
Statistical Independence Aware Caching for LLM Workflows Yihan聽Dai, Dimitrios Stamatios聽Bouras, Haoxiang聽Jia, Sergey聽Mechtaev
The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution Norbert聽Tihanyi, Bilel聽Cherif, Mohamed Amine聽Ferrag, Richard A.聽Dubniczky, Tamas聽Bisztray
Towards Improving in-IDE Code Completion for Driver Development Batuhan Raif聽Karagoz, Mahesh聽Jayasankar, Saurabh聽Bodhe, Subhayan聽Roy, Lejin聽Varghese, Max聽Kiehn, Yonas聽Bedasso
Towards LLM-guided Semantic Validation of Autonomous Driving Safety Policies 馃摑 Qingzhao聽Zhang, Z. Morley聽Mao
TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization Haonan聽Li, Keyu聽Man, Partha聽Kanuparthy, Hanning聽Chen, Wei聽Sun, Sreen聽Tallam, Chenguang聽Zhu, Kevin聽Zhu, Zhiyun聽Qian
Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study Michele聽Merler, Rangeet聽Pan, Rahul聽Krishna, Tin Kam聽Ho, Raju聽Pavuluri, Maja聽Vukovic

Papers are sorted alphabetically (馃摑 short paper, 馃挰 extended abstract).