:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Yanlong, Li, Jindong, Wang, Qi, Yang, Menglin, Kong, He, Wang, Shengsheng
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	https://arxiv.org/abs/2501.18653
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
by: Sun, Qiushi, et al.
Published: (2023)

MEMCoder: Multi-dimensional Evolving Memory for Private-Library-Oriented Code Generation
by: Li, Mofei, et al.
Published: (2026)

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

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

Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models
by: Li, Zongjie, et al.
Published: (2025)

RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution
by: Liu, Aofan, et al.
Published: (2025)

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

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
by: Sun, Zhensu, et al.
Published: (2022)

$\mathbb{USCD}$: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding
by: Wang, Shuai, et al.
Published: (2024)

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
by: Xiong, Zhanhang, et al.
Published: (2025)

Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code
by: Liu, Fang, et al.
Published: (2024)

Correctness isnt Efficiency: Runtime Memory Divergence in LLM-Generated Code
by: Rajput, Prateek, et al.
Published: (2026)

Neuro-Symbolic Generation and Validation of Memory-Aware Formal Function Specifications
by: Zhang, Liao, et al.
Published: (2026)

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

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
by: Lian, Keke, et al.
Published: (2025)

CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems
by: Lyu, Zongyi, et al.
Published: (2026)

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

Code Copycat Conundrum: Demystifying Repetition in LLM-based Code Generation
by: Liu, Mingwei, et al.
Published: (2025)

What Makes Code Generation Ethically Sourced?
by: Xu, Zhuolin, et al.
Published: (2025)

Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs
by: Wang, Shuai, et al.
Published: (2025)

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

CodeFort: Robust Training for Code Generation Models
by: Zhang, Yuhao, et al.
Published: (2024)

A Benchmark for Localizing Code and Non-Code Issues in Software Projects
by: Zhang, Zejun, et al.
Published: (2025)

Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach
by: Wan, Yuxuan, et al.
Published: (2024)

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

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

Understanding and Bridging the Planner-Coder Gap: A Systematic Study on the Robustness of Multi-Agent Systems for Code Generation
by: Lyu, Zongyi, et al.
Published: (2025)

Beyond Function-Level Search: Repository-Aware Dual-Encoder Code Retrieval with Adversarial Verification
by: Liu, Aofan, 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)

Function-to-Style Guidance of LLMs for Code Translation
by: Zhang, Longhui, et al.
Published: (2025)

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code
by: He, Kaifeng, et al.
Published: (2026)

A Deep Dive Into Large Language Model Code Generation Mistakes: What and Why?
by: Chen, QiHong, 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)

Goedel-Code-Prover: Hierarchical Proof Search for Open State-of-the-Art Code Verification
by: Li, Zenan, et al.
Published: (2026)

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

Turning the Tide: Repository-based Code Reflection
by: Zhang, Wei, et al.
Published: (2025)

Ethics Testing: Proactive Identification of Generative AI System Harms
by: Tan, Shin Hwei, et al.
Published: (2026)

Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity
by: Wang, Chung-Yu, et al.
Published: (2024)

Beyond Autoregression: An Empirical Study of Diffusion Large Language Models for Code Generation
by: Li, Chengze, et al.
Published: (2025)

Rethinking the effects of data contamination in Code Intelligence
by: Yang, Zhen, et al.
Published: (2025)