:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ye, Yufan, Zhang, Ting, Jiang, Wenbin, Huang, Hua
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	https://arxiv.org/abs/2502.01715
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?
by: Garg, Spandan, et al.
Published: (2026)

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

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

Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs
by: Chen, Yujia, et al.
Published: (2026)

Coding with Eyes: Visual Feedback Unlocks Reliable GUI Code Generating and Debugging
by: Liu, Zhilin, et al.
Published: (2026)

Reinforcement Learning-Guided Chain-of-Draft for Token-Efficient Code Generation
by: Tang, Xunzhu, et al.
Published: (2025)

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

CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision
by: Wang, Hao, et al.
Published: (2024)

Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation
by: Yang, Chengran, et al.
Published: (2026)

Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning
by: Yin, Shouyu, et al.
Published: (2026)

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using LLMs
by: Kabir, Azmain, et al.
Published: (2024)

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
by: Du, Mingzhe, et al.
Published: (2025)

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

Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting
by: Ye, Tong, et al.
Published: (2024)

Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation
by: Garg, Spandan, et al.
Published: (2025)

Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks?
by: Garg, Spandan, et al.
Published: (2026)

CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
by: Jiang, Xue, et al.
Published: (2025)

Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
by: Jiang, Nan, et al.
Published: (2023)

Top Pass: Improve Code Generation by Pass@k-Maximized Code Ranking
by: Lyu, Zhi-Cun, et al.
Published: (2024)

Enhancing High-Quality Code Generation in Large Language Models with Comparative Prefix-Tuning
by: Jiang, Yuan, et al.
Published: (2025)

GNN-Coder: Boosting Semantic Code Retrieval with Combined GNNs and Transformer
by: Ye, Yufan, et al.
Published: (2025)

CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation
by: Huang, Dong, et al.
Published: (2023)

Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models
by: Chen, Jie, et al.
Published: (2024)

Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation
by: Yu, Zhuohao, et al.
Published: (2024)

Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
by: He, Mengliang, 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)

LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
by: Islam, Nafis Tanveer, et al.
Published: (2024)

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

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
by: Zhang, Xing, et al.
Published: (2025)

From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents
by: Ma, Murong, et al.
Published: (2026)

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking
by: Wang, Zichong, et al.
Published: (2023)

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

The Readability Spectrum: Patterns, Issues, and Prompt Effects in LLM-Generated Code
by: Ye, Hengzhi, et al.
Published: (2026)

ModiGen: A Large Language Model-Based Workflow for Multi-Task Modelica Code Generation
by: Xiang, Jiahui, et al.
Published: (2025)

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation
by: Acharya, Manish, et al.
Published: (2025)

Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
by: Vartziotis, Tina, et al.
Published: (2024)

CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision
by: Lu, Yifei, et al.
Published: (2025)

BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation
by: Xu, Jingwen, et al.
Published: (2026)

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

Effective Code Membership Inference for Code Completion Models via Adversarial Prompts
by: Jiang, Yuan, et al.
Published: (2025)