Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Grishina, Anastasiia, Liventsev, Vadim, Härmä, Aki, Moonen, Leon |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
REvolution: An Evolutionary Framework for RTL Generation driven by Large Language Models
par: Min, Kyungjun, et autres
Publié: (2025)
par: Min, Kyungjun, et autres
Publié: (2025)
Search-based Selection of Metamorphic Relations for Optimized Robustness Testing of Large Language Models
par: Hyun, Sangwon, et autres
Publié: (2025)
par: Hyun, Sangwon, et autres
Publié: (2025)
Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming
par: Helmuth, Thomas, et autres
Publié: (2024)
par: Helmuth, Thomas, et autres
Publié: (2024)
The Impact of Fine-tuning Large Language Models on Automated Program Repair
par: Macháček, Roman, et autres
Publié: (2025)
par: Macháček, Roman, et autres
Publié: (2025)
Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment
par: Da Ros, Francesca, et autres
Publié: (2026)
par: Da Ros, Francesca, et autres
Publié: (2026)
Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems
par: Cheng, Mingfei, et autres
Publié: (2024)
par: Cheng, Mingfei, et autres
Publié: (2024)
LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
par: van Stein, Niki, et autres
Publié: (2026)
par: van Stein, Niki, et autres
Publié: (2026)
Path Analysis for Effective Fault Localization in Deep Neural Networks
par: Hashemifar, Soroush, et autres
Publié: (2023)
par: Hashemifar, Soroush, et autres
Publié: (2023)
Automated Prompt Engineering for Cost-Effective Code Generation Using Evolutionary Algorithm
par: Taherkhani, Hamed, et autres
Publié: (2024)
par: Taherkhani, Hamed, et autres
Publié: (2024)
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
par: van Stein, Niki, et autres
Publié: (2025)
par: van Stein, Niki, et autres
Publié: (2025)
Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems using Lifelong Self-Adaptation
par: Gheibi, Omid, et autres
Publié: (2022)
par: Gheibi, Omid, et autres
Publié: (2022)
Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems
par: Yousefizadeh, Hossein, et autres
Publié: (2024)
par: Yousefizadeh, Hossein, et autres
Publié: (2024)
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy
par: Boraud, Virgile, et autres
Publié: (2025)
par: Boraud, Virgile, et autres
Publié: (2025)
Enhancing Analogy-Based Software Effort Estimation with Firefly Algorithm Optimization
par: Chintada, Tarun, et autres
Publié: (2025)
par: Chintada, Tarun, et autres
Publié: (2025)
Socialz: Multi-Feature Social Fuzz Testing
par: Zanartu, Francisco, et autres
Publié: (2023)
par: Zanartu, Francisco, et autres
Publié: (2023)
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation
par: Ma, Zeyuan, et autres
Publié: (2024)
par: Ma, Zeyuan, et autres
Publié: (2024)
Modelling Open-Source Software Reliability Incorporating Swarm Intelligence-Based Techniques
par: Shatnawi, Omar
Publié: (2024)
par: Shatnawi, Omar
Publié: (2024)
Unlocking the Secrets of Software Configuration Landscapes-Ruggedness, Accessibility, Escapability, and Transferability
par: Huang, Mingyu, et autres
Publié: (2022)
par: Huang, Mingyu, et autres
Publié: (2022)
Guiding the Search Towards Failure-Inducing Test Inputs Using Support Vector Machines
par: Sorokin, Lev, et autres
Publié: (2024)
par: Sorokin, Lev, et autres
Publié: (2024)
Many-Objective Neuroevolution for Testing Games
par: Feldmeier, Patric, et autres
Publié: (2025)
par: Feldmeier, Patric, et autres
Publié: (2025)
Memory as Resonance: A Biomimetic Architecture for Infinite Context Memory on Ergodic Phonetic Manifolds
par: Houichime, Tarik, et autres
Publié: (2025)
par: Houichime, Tarik, et autres
Publié: (2025)
Assessing the Latent Automated Program Repair Capabilities of Large Language Models using Round-Trip Translation
par: Ruiz, Fernando Vallecillos, et autres
Publié: (2024)
par: Ruiz, Fernando Vallecillos, et autres
Publié: (2024)
Interactive Multi-Objective Evolutionary Optimization of Software Architectures
par: Ramírez, Aurora, et autres
Publié: (2024)
par: Ramírez, Aurora, et autres
Publié: (2024)
The CAISAR Platform: Extending the Reach of Machine Learning Specification and Verification
par: Alberti, Michele, et autres
Publié: (2025)
par: Alberti, Michele, et autres
Publié: (2025)
Combining Neuroevolution with the Search for Novelty to Improve the Generation of Test Inputs for Games
par: Feldmeier, Patric, et autres
Publié: (2024)
par: Feldmeier, Patric, et autres
Publié: (2024)
On Accelerating Deep Neural Network Mutation Analysis by Neuron and Mutant Clustering
par: Lyons, Lauren, et autres
Publié: (2025)
par: Lyons, Lauren, et autres
Publié: (2025)
RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models
par: Liu, Jingjing, et autres
Publié: (2025)
par: Liu, Jingjing, et autres
Publié: (2025)
REvolve: Reward Evolution with Large Language Models using Human Feedback
par: Hazra, Rishi, et autres
Publié: (2024)
par: Hazra, Rishi, et autres
Publié: (2024)
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
par: Lee, Sungwoo, et autres
Publié: (2023)
par: Lee, Sungwoo, et autres
Publié: (2023)
PROJECT VI: Sovereign Digital Consciousness via Constitutional Physics Architecture
par: Grant, Ryan
Publié: (2025)
par: Grant, Ryan
Publié: (2025)
Spike-driven Large Language Model
par: Xu, Han, et autres
Publié: (2026)
par: Xu, Han, et autres
Publié: (2026)
The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models
par: Ruiz, Fernando Vallecillos, et autres
Publié: (2025)
par: Ruiz, Fernando Vallecillos, et autres
Publié: (2025)
DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing
par: Ghanathe, Nikhil P, et autres
Publié: (2024)
par: Ghanathe, Nikhil P, et autres
Publié: (2024)
Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization
par: Ha, Minh Hieu, et autres
Publié: (2025)
par: Ha, Minh Hieu, et autres
Publié: (2025)
OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Algorithm Discovery
par: Liu, Qi, et autres
Publié: (2026)
par: Liu, Qi, et autres
Publié: (2026)
HEAS: Hierarchical Evolutionary Agent-Based Simulation Framework for Multi-Objective Policy Search
par: Zhang, Ruiyu, et autres
Publié: (2025)
par: Zhang, Ruiyu, et autres
Publié: (2025)
SEvoBench : A C++ Framework For Evolutionary Single-Objective Optimization Benchmarking
par: Yang, Yongkang, et autres
Publié: (2025)
par: Yang, Yongkang, et autres
Publié: (2025)
Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models
par: Wang, Xudong, et autres
Publié: (2026)
par: Wang, Xudong, et autres
Publié: (2026)
Explainable Benchmarking for Iterative Optimization Heuristics
par: van Stein, Niki, et autres
Publié: (2024)
par: van Stein, Niki, et autres
Publié: (2024)
A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving
par: Zhang, Yisong, et autres
Publié: (2025)
par: Zhang, Yisong, et autres
Publié: (2025)
Documents similaires
-
REvolution: An Evolutionary Framework for RTL Generation driven by Large Language Models
par: Min, Kyungjun, et autres
Publié: (2025) -
Search-based Selection of Metamorphic Relations for Optimized Robustness Testing of Large Language Models
par: Hyun, Sangwon, et autres
Publié: (2025) -
Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming
par: Helmuth, Thomas, et autres
Publié: (2024) -
The Impact of Fine-tuning Large Language Models on Automated Program Repair
par: Macháček, Roman, et autres
Publié: (2025) -
Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment
par: Da Ros, Francesca, et autres
Publié: (2026)