Imagen de Portada

CodeContests-O: Powering LLMs via Feedback-Driven Iterative Test Case Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cai, Jianfeng, Zhu, Jinhua, Sun, Ruopei, Zhao, Kangwen, Xue, Dongyun, Feng, Mingxiao, Zhou, Wengang, Li, Houqiang
Formato:	Preprint
Publicado:	2026
Materias:	Software Engineering Programming Languages
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

CodeContests+: High-Quality Test Case Generation for Competitive Programming
por: Wang, Zihan, et al.
Publicado: (2025)

Bias Fitting to Mitigate Length Bias of Reward Model in RLHF
por: Zhao, Kangwen, et al.
Publicado: (2025)

Multi-Level Aware Preference Learning: Enhancing RLHF for Complex Multi-Instruction Tasks
por: Sun, Ruopei, et al.
Publicado: (2025)

May the Feedback Be with You! Unlocking the Power of Feedback-Driven Deep Learning Framework Fuzzing via LLMs
por: Yang, Shaoyu, et al.
Publicado: (2025)

CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback
por: Sun, Qiushi, et al.
Publicado: (2025)

An Iterative Test-and-Repair Framework for Competitive Code Generation
por: Tang, Lingxiao, et al.
Publicado: (2026)

TestForge: Feedback-Driven, Agentic Test Suite Generation
por: Jain, Kush, et al.
Publicado: (2025)

Write Your Own CodeChecker: An Automated Test-Driven Checker Development Approach with LLMs
por: Liu, Jun, et al.
Publicado: (2024)

Helping LLMs Improve Code Generation Using Feedback from Testing and Static Analysis
por: Dolcetti, Greta, et al.
Publicado: (2024)

MUCOCO: Automated Consistency Testing of Code LLMs
por: Chou, Chua Jin, et al.
Publicado: (2026)

1D-Bench: A Benchmark for Iterative UI Code Generation with Visual Feedback in Real-World
por: Xu, Qiao, et al.
Publicado: (2026)

FeedbackEval: A Benchmark for Evaluating Large Language Models in Feedback-Driven Code Repair Tasks
por: Dai, Dekun, et al.
Publicado: (2025)

Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
por: Bi, Zhangqian, et al.
Publicado: (2024)

LLMs-Powered Real-Time Fault Injection: An Approach Toward Intelligent Fault Test Cases Generation
por: Abboush, Mohammad, et al.
Publicado: (2025)

Mutation Testing via Iterative Large Language Model-Driven Scientific Debugging
por: Straubinger, Philipp, et al.
Publicado: (2025)

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs
por: Zhu, Yuqi, et al.
Publicado: (2025)

An Exploratory Study of Bayesian Prompt Optimization for Test-Driven Code Generation with Large Language Models
por: Tomar, Shlok, et al.
Publicado: (2025)

ABTest: Behavior-Driven Testing for AI Coding Agents
por: Dai, Wuyang, et al.
Publicado: (2026)

Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
por: Wang, Chong, et al.
Publicado: (2024)

CodeMEM: AST-Guided Adaptive Memory for Repository-Level Iterative Code Generation
por: Wang, Peiding, et al.
Publicado: (2026)

AI-Assisted Unit Test Writing and Test-Driven Code Refactoring: A Case Study
por: Smolic, Ema, et al.
Publicado: (2026)

Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps
por: Wang, Dingbang, et al.
Publicado: (2024)

Understanding Specification-Driven Code Generation with LLMs: An Empirical Study Design
por: Rosa, Giovanni, et al.
Publicado: (2026)

SmartC2Rust: Iterative, Feedback-Driven C-to-Rust Translation via Large Language Models for Safety and Equivalence
por: Shiraishi, Momoko, et al.
Publicado: (2024)

SWE-Bench+: Enhanced Coding Benchmark for LLMs
por: Aleithan, Reem, et al.
Publicado: (2024)

InfCode: Adversarial Iterative Refinement of Tests and Patches for Reliable Software Issue Resolution
por: Li, KeFan, et al.
Publicado: (2025)

Fix the Tests: Augmenting LLMs to Repair Test Cases with Static Collector and Neural Reranker
por: Liu, Jun, et al.
Publicado: (2024)

Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure
por: Yang, Zheyuan, et al.
Publicado: (2025)

Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
por: Moon, Seungjun, et al.
Publicado: (2023)

Test-Driven Development for Code Generation
por: Mathews, Noble Saji, et al.
Publicado: (2024)

UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance
por: Ma, Yichuan, et al.
Publicado: (2025)

GenX: Mastering Code and Test Generation with Execution Feedback
por: Wang, Nan, et al.
Publicado: (2024)

Quantum-Guided Test Case Minimization for LLM-Based Code Generation
por: Zhang, Huixiang, et al.
Publicado: (2025)

Scaling Test-Driven Code Generation from Functions to Classes: An Empirical Study
por: Liang, Yunhao, et al.
Publicado: (2026)

SysTradeBench: An Iterative Build-Test-Patch Benchmark for Strategy-to-Code Trading Systems with Drift-Aware Diagnostics
por: Cao, Yuchen, et al.
Publicado: (2026)

Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning
por: Fu, Jia, et al.
Publicado: (2025)

ConAIR:Consistency-Augmented Iterative Interaction Framework to Enhance the Reliability of Code Generation
por: Dong, Jinhao, et al.
Publicado: (2024)

DiffSpec: Differential Testing with LLMs using Natural Language Specifications and Code Artifacts
por: Rao, Nikitha, et al.
Publicado: (2024)

TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration
por: Gu, Siqi, et al.
Publicado: (2024)

Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT
por: Donato, Benedetta, et al.
Publicado: (2025)