Exploring Pass-Rate Reward in Reinforcement Learning for Code Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xin-Ye, Liu, Ren-Biao, Zhang, Yun-Ji, Sun, Hui, Xie, Zheng, Li, Ming |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Top Pass: Improve Code Generation by Pass@k-Maximized Code Ranking
by: Lyu, Zhi-Cun, et al.
Published: (2024)
by: Lyu, Zhi-Cun, et al.
Published: (2024)
Post-Incorporating Code Structural Knowledge into Pretrained Models via ICL for Code Translation
by: Du, Yali, et al.
Published: (2025)
by: Du, Yali, et al.
Published: (2025)
Process-Supervised Reinforcement Learning for Code Generation
by: Ye, Yufan, et al.
Published: (2025)
by: Ye, Yufan, et al.
Published: (2025)
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
Learning to Generate Secure Code via Token-Level Rewards
by: Quan, Jiazheng, et al.
Published: (2026)
by: Quan, Jiazheng, et al.
Published: (2026)
Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code
by: Liu, Fang, et al.
Published: (2024)
by: Liu, Fang, et al.
Published: (2024)
Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning
by: Fu, Jia, et al.
Published: (2025)
by: Fu, Jia, et al.
Published: (2025)
Reinforcement Learning-Guided Chain-of-Draft for Token-Efficient Code Generation
by: Tang, Xunzhu, et al.
Published: (2025)
by: Tang, Xunzhu, et al.
Published: (2025)
ReCode: Reinforcing Code Generation with Reasoning-Process Rewards
by: Fan, Lishui, et al.
Published: (2025)
by: Fan, Lishui, et al.
Published: (2025)
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
by: Guo, Chengquan, et al.
Published: (2024)
by: Guo, Chengquan, et al.
Published: (2024)
CVeDRL: An Efficient Code Verifier via Difficulty-aware Reinforcement Learning
by: Shi, Ji, et al.
Published: (2026)
by: Shi, Ji, et al.
Published: (2026)
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
by: Sun, Qiushi, et al.
Published: (2023)
by: Sun, Qiushi, et al.
Published: (2023)
Does Pass Rate Tell the Whole Story? Evaluating Design Constraint Compliance in LLM-based Issue Resolution
by: Yu, Kai, et al.
Published: (2026)
by: Yu, Kai, et al.
Published: (2026)
RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution
by: Liu, Aofan, et al.
Published: (2025)
by: Liu, Aofan, et al.
Published: (2025)
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting
by: Ye, Tong, et al.
Published: (2024)
by: Ye, Tong, et al.
Published: (2024)
Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs
by: Chen, Yujia, et al.
Published: (2026)
by: Chen, Yujia, et al.
Published: (2026)
DeepCode: Open Agentic Coding
by: Li, Zongwei, et al.
Published: (2025)
by: Li, Zongwei, et al.
Published: (2025)
AI Code in the Wild: Measuring Security Risks and Ecosystem Shifts of AI-Generated Code in Modern Software
by: Wang, Bin, et al.
Published: (2025)
by: Wang, Bin, et al.
Published: (2025)
Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning
by: Yin, Shouyu, et al.
Published: (2026)
by: Yin, Shouyu, et al.
Published: (2026)
BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models
by: Li, Yuanhao, et al.
Published: (2026)
by: Li, Yuanhao, et al.
Published: (2026)
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar
by: Zhang, Yuanliang, et al.
Published: (2024)
by: Zhang, Yuanliang, et al.
Published: (2024)
Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling
by: Ni, Ziyi, et al.
Published: (2024)
by: Ni, Ziyi, et al.
Published: (2024)
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
by: Yang, Zhen, et al.
Published: (2024)
by: Yang, Zhen, et al.
Published: (2024)
Beyond Execution: Static-Analysis Rewards and Hint-Conditioned Diffusion RL for Code Generation
by: Ouyang, Shuyin, et al.
Published: (2026)
by: Ouyang, Shuyin, et al.
Published: (2026)
Code Copycat Conundrum: Demystifying Repetition in LLM-based Code Generation
by: Liu, Mingwei, et al.
Published: (2025)
by: Liu, Mingwei, et al.
Published: (2025)
Generating High-Quality Datasets for Code Editing via Open-Source Language Models
by: Zhang, Zekai, et al.
Published: (2025)
by: Zhang, Zekai, et al.
Published: (2025)
CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
by: Jiang, Xue, et al.
Published: (2025)
by: Jiang, Xue, et al.
Published: (2025)
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
by: Du, Mingzhe, et al.
Published: (2025)
by: Du, Mingzhe, et al.
Published: (2025)
Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs
by: Xie, Chen, et al.
Published: (2025)
by: Xie, Chen, et al.
Published: (2025)
WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models
by: Lei, Xinping, et al.
Published: (2026)
by: Lei, Xinping, et al.
Published: (2026)
Personality-Guided Code Generation Using Large Language Models
by: Guo, Yaoqi, et al.
Published: (2024)
by: Guo, Yaoqi, et al.
Published: (2024)
Coding with Eyes: Visual Feedback Unlocks Reliable GUI Code Generating and Debugging
by: Liu, Zhilin, et al.
Published: (2026)
by: Liu, Zhilin, et al.
Published: (2026)
Mage: Multi-Axis Evaluation of LLM-Generated Executable Game Scenes Beyond Compile-Pass Rate
by: Liu, Hugh Xuechen, et al.
Published: (2026)
by: Liu, Hugh Xuechen, et al.
Published: (2026)
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs
by: Liu, Zhihan, et al.
Published: (2024)
by: Liu, Zhihan, et al.
Published: (2024)
GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understanding
by: Dong, Zeming, et al.
Published: (2024)
by: Dong, Zeming, et al.
Published: (2024)
Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
Synergizing Code Coverage and Gameplay Intent: Coverage-Aware Game Playtesting with LLM-Guided Reinforcement Learning
by: Mu, Enhong, et al.
Published: (2025)
by: Mu, Enhong, et al.
Published: (2025)
CATCODER: Repository-Level Code Generation with Relevant Code and Type Context
by: Pan, Zhiyuan, et al.
Published: (2024)
by: Pan, Zhiyuan, et al.
Published: (2024)
What Makes Code Generation Ethically Sourced?
by: Xu, Zhuolin, et al.
Published: (2025)
by: Xu, Zhuolin, et al.
Published: (2025)
Learning to Align Human Code Preferences
by: Yin, Xin, et al.
Published: (2025)
by: Yin, Xin, et al.
Published: (2025)
Similar Items
-
Top Pass: Improve Code Generation by Pass@k-Maximized Code Ranking
by: Lyu, Zhi-Cun, et al.
Published: (2024) -
Post-Incorporating Code Structural Knowledge into Pretrained Models via ICL for Code Translation
by: Du, Yali, et al.
Published: (2025) -
Process-Supervised Reinforcement Learning for Code Generation
by: Ye, Yufan, et al.
Published: (2025) -
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
by: Islam, Nafis Tanveer, et al.
Published: (2024) -
Learning to Generate Secure Code via Token-Level Rewards
by: Quan, Jiazheng, et al.
Published: (2026)