:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ou, Guangsheng, Zhang, Qiming, Chen, Sirong, Li, Anji, Xu, Dong, Luo, Tiancheng, Dai, Dekun, Gao, Cuiyun, Wang, Long, Zhou, Jun, Liu, Mingwei, Zheng, Zibin
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2602.20799
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Are Decoder-Only Large Language Models the Silver Bullet for Code Search?
by: Chen, Yuxuan, et al.
Published: (2024)

KTester: Leveraging Domain and Testing Knowledge for More Effective LLM-based Test Generation
by: Li, Anji, et al.
Published: (2025)

RustRepoTrans: Repository-level Code Translation Benchmark Targeting Rust
by: Ou, Guangsheng, et al.
Published: (2024)

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

Evolving Triple Knowledge-Augmented LLMs for Code Translation in Repository Context
by: Ou, Guangsheng, et al.
Published: (2025)

A Preliminary Study on the Robustness of Code Generation by Large Language Models
by: Li, Zike, et al.
Published: (2025)

RustEvo^2: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation
by: Liang, Linxi, et al.
Published: (2025)

Data Dependency-Aware Code Generation from Enhanced UML Sequence Diagrams
by: Mao, Wenxin, et al.
Published: (2025)

Build-Aware Incremental C-to-Rust Migration via Skeleton-First Translation and Historical Knowledge Reuse
by: Wang, Shengbo, et al.
Published: (2026)

Deep Learning Based Code Generation Methods: Literature Review
by: Yang, Zezhou, et al.
Published: (2023)

Generating High-Quality Datasets for Code Editing via Open-Source Language Models
by: Zhang, Zekai, et al.
Published: (2025)

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities
by: Yang, Zezhou, et al.
Published: (2025)

RepoDoc: A Knowledge Graph-Based Framework to Automatic Documentation Generation and Incremental Updates
by: Xu, Dong, et al.
Published: (2026)

EffiReasonTrans: RL-Optimized Reasoning for Code Translation
by: Wang, Yanlin, et al.
Published: (2025)

Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study
by: Liu, Mingwei, et al.
Published: (2025)

A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI
by: Gao, Cuiyun, et al.
Published: (2025)

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback
by: Duan, Guoliang, et al.
Published: (2025)

Code-Survey: An LLM-Driven Methodology for Analyzing Large-Scale Codebases
by: Zheng, Yusheng, et al.
Published: (2024)

iJTyper: An Iterative Type Inference Framework for Java by Integrating Constraint- and Statistically-based Methods
by: Chen, Zhixiang, et al.
Published: (2024)

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

SR-Eval: Evaluating LLMs on Code Generation under Stepwise Requirement Refinement
by: Zhan, Zexun, et al.
Published: (2025)

Architecture-Aware Multi-Design Generation for Repository-Level Feature Addition
by: Liu, Mingwei, et al.
Published: (2026)

Dynamic analysis enhances issue resolution
by: Liu, Mingwei, et al.
Published: (2026)

Meta-RAG on Large Codebases Using Code Summarization
by: Tawosi, Vali, et al.
Published: (2025)

Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases
by: Wong, Sherman, et al.
Published: (2025)

SEER: Enhancing Chain-of-Thought Code Generation through Self-Exploring Deep Reasoning
by: Gao, Shuzheng, et al.
Published: (2025)

What to Retrieve for Effective Retrieval-Augmented Code Generation? An Empirical Study and Beyond
by: Gu, Wenchao, et al.
Published: (2025)

Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
by: Zheng, Dewu, et al.
Published: (2024)

ReqToCode: Embedding Requirements Traceability as a Structural Property of the Codebase
by: Schlathölter, Thorsten
Published: (2026)

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
by: Wang, Yanlin, et al.
Published: (2024)

Search-Based LLMs for Code Optimization
by: Gao, Shuzheng, et al.
Published: (2024)

RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories
by: Wang, Yanlin, et al.
Published: (2026)

FormulaCode: Evaluating Agentic Optimization on Large Codebases
by: Sehgal, Atharva, et al.
Published: (2026)

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code
by: Feng, Jia, et al.
Published: (2024)

Code Compass: A Study on the Challenges of Navigating Unfamiliar Codebases
by: Agrawal, Ekansh, et al.
Published: (2024)

Comment Traps: How Defective Commented-out Code Augment Defects in AI-Assisted Code Generation
by: Huang, Yuan, et al.
Published: (2025)

DRAINCODE: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context Poisoning
by: Wang, Yanlin, et al.
Published: (2026)

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation
by: He, Kaifeng, et al.
Published: (2025)

A Note on Code Quality Score: LLMs for Maintainable Large Codebases
by: Wong, Sherman, et al.
Published: (2025)

Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code
by: Chen, Yujia, et al.
Published: (2024)