Cover Image

Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, Jia, Yang, Xinyu, Zhang, Hongzhi, Liu, Yahui, Zhang, Jingyuan, Wang, Qi, Zhang, Fuzheng, Zhou, Guorui
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs
by: Liu, Zhihan, et al.
Published: (2024)

Revisit Self-Debugging with Self-Generated Tests for Code Generation
by: Chen, Xiancai, et al.
Published: (2025)

AutoTest: Evolutionary Code Solution Selection with Test Cases
by: Duan, Zhihua, et al.
Published: (2024)

Bias Testing and Mitigation in LLM-based Code Generation
by: Huang, Dong, et al.
Published: (2023)

Process-Supervised Reinforcement Learning for Code Generation
by: Ye, Yufan, et al.
Published: (2025)

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

Domain Adaptation for Code Model-based Unit Test Case Generation
by: Shin, Jiho, et al.
Published: (2023)

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

Klear-AgentForge: Forging Agentic Intelligence through Posttraining Scaling
by: Wang, Qi, et al.
Published: (2025)

Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation
by: Cui, Yi
Published: (2025)

CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
by: Li, Kefan, et al.
Published: (2025)

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

CodeChemist: Functional Knowledge Transfer for Low-Resource Code Generation via Test-Time Scaling
by: Wang, Kaixin, et al.
Published: (2025)

TENET: Leveraging Tests Beyond Validation for Code Generation
by: Hu, Yiran, et al.
Published: (2025)

CVeDRL: An Efficient Code Verifier via Difficulty-aware Reinforcement Learning
by: Shi, Ji, et al.
Published: (2026)

No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows
by: Raghavan, Siddeshwar, et al.
Published: (2026)

ReCatcher: Towards LLMs Regression Testing for Code Generation
by: Abbassi, Altaf Allah, et al.
Published: (2025)

ATGen: Adversarial Reinforcement Learning for Test Case Generation
by: Li, Qingyao, et al.
Published: (2025)

ProxyWar: Dynamic Assessment of LLM Code Generation in Game Arenas
by: Peng, Wenjun, et al.
Published: (2026)

VeriScale: Adversarial Test-Suite Scaling for Verifiable Code Generation
by: Bai, Yifan, et al.
Published: (2026)

Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot
by: Zhang, Beiqi, et al.
Published: (2024)

LLM-Based Test Case Generation in DBMS through Monte Carlo Tree Search
by: Chen, Yujia, et al.
Published: (2026)

Code Generation by Differential Test Time Scaling
by: He, Yifeng, et al.
Published: (2026)

CodeCircuit: Toward Inferring LLM-Generated Code Correctness via Attribution Graphs
by: He, Yicheng, et al.
Published: (2026)

Exploring Pass-Rate Reward in Reinforcement Learning for Code Generation
by: Li, Xin-Ye, et al.
Published: (2026)

Enhancing LLM-Based Test Generation by Eliminating Covered Code
by: Xu, WeiZhe, et al.
Published: (2026)

XSearch: Explainable Code Search via Concept-to-Code Alignment
by: Liu, Yiming, et al.
Published: (2026)

Guided Debugging of Auto-Translated Code Using Differential Testing
by: Wu, Shengnan, et al.
Published: (2025)

Adaptive Confidence Gating in Multi-Agent Collaboration for Efficient and Optimized Code Generation
by: Zhang, Haoji, et al.
Published: (2026)

ReCode: Reinforcing Code Generation with Reasoning-Process Rewards
by: Fan, Lishui, et al.
Published: (2025)

Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation
by: Jacopin, Éric
Published: (2026)

Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
by: He, Mengliang, et al.
Published: (2025)

CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
by: Shi, Jingwei, et al.
Published: (2026)

A Theoretical Analysis of Test-Driven Code Generation
by: Menet, Nicolas, et al.
Published: (2026)

Learning to Generate Unit Test via Adversarial Reinforcement Learning
by: Lee, Dongjun, et al.
Published: (2025)

CodeScout: An Effective Recipe for Reinforcement Learning of Code Search Agents
by: Sutawika, Lintang, et al.
Published: (2026)

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)

RedCode: Risky Code Execution and Generation Benchmark for Code Agents
by: Guo, Chengquan, et al.
Published: (2024)

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

Reinforcement Learning Integrated Agentic RAG for Software Test Cases Authoring
by: Hariharan, Mohanakrishnan
Published: (2025)