Saved in:
| Main Authors: | Zheng, Xinyue, Lin, Haowei, Cai, Shaofei, Zheng, Zilong, Yang, Yaodong, Liang, Yitao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.17868 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Comment Traps: How Defective Commented-out Code Augment Defects in AI-Assisted Code Generation
by: Huang, Yuan, et al.
Published: (2025)
by: Huang, Yuan, et al.
Published: (2025)
Evaluating and Achieving Controllable Code Completion in Code LLM
by: Zhang, Jiajun, et al.
Published: (2026)
by: Zhang, Jiajun, et al.
Published: (2026)
EffiReasonTrans: RL-Optimized Reasoning for Code Translation
by: Wang, Yanlin, et al.
Published: (2025)
by: Wang, Yanlin, et al.
Published: (2025)
CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation
by: Yang, Guang, et al.
Published: (2025)
by: Yang, Guang, et al.
Published: (2025)
UniCoR: Modality Collaboration for Robust Cross-Language Hybrid Code Retrieval
by: Yang, Yang, et al.
Published: (2025)
by: Yang, Yang, et al.
Published: (2025)
Code Comments for Quantum Software Development Kits: An Empirical Study on Qiskit
by: Zhou, Zenghui, et al.
Published: (2025)
by: Zhou, Zenghui, et al.
Published: (2025)
CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning
by: Tang, Lingxiao, et al.
Published: (2025)
by: Tang, Lingxiao, et al.
Published: (2025)
Evolving Triple Knowledge-Augmented LLMs for Code Translation in Repository Context
by: Ou, Guangsheng, et al.
Published: (2025)
by: Ou, Guangsheng, et al.
Published: (2025)
Revisiting Evolutionary Program Repair via Code Language Model
by: Wang, Yunan, et al.
Published: (2024)
by: Wang, Yunan, et al.
Published: (2024)
Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency
by: Hu, Junwei, et al.
Published: (2025)
by: Hu, Junwei, et al.
Published: (2025)
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search
by: Wang, Yanlin, et al.
Published: (2024)
by: Wang, Yanlin, et al.
Published: (2024)
HumanEvo: An Evolution-aware Benchmark for More Realistic Evaluation of Repository-level Code Generation
by: Zheng, Dewu, et al.
Published: (2024)
by: Zheng, Dewu, et al.
Published: (2024)
CodeScore: Evaluating Code Generation by Learning Code Execution
by: Dong, Yihong, et al.
Published: (2023)
by: Dong, Yihong, et al.
Published: (2023)
CoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks
by: Fu, Lingyue, et al.
Published: (2025)
by: Fu, Lingyue, et al.
Published: (2025)
AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation
by: Li, Xinyu, et al.
Published: (2026)
by: Li, Xinyu, et al.
Published: (2026)
CodeFuse-CR-Bench: A Comprehensiveness-aware Benchmark for End-to-End Code Review Evaluation in Python Projects
by: Guo, Hanyang, et al.
Published: (2025)
by: Guo, Hanyang, 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)
by: Gu, Wenchao, et al.
Published: (2025)
Evaluating LLMs Code Reasoning Under Real-World Context
by: Liu, Changshu
Published: (2026)
by: Liu, Changshu
Published: (2026)
Evaluating Code Reasoning Abilities of Large Language Models Under Real-World Settings
by: Liu, Changshu, et al.
Published: (2025)
by: Liu, Changshu, et al.
Published: (2025)
Code-Survey: An LLM-Driven Methodology for Analyzing Large-Scale Codebases
by: Zheng, Yusheng, et al.
Published: (2024)
by: Zheng, Yusheng, et al.
Published: (2024)
CoRe: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks
by: Xie, Danning, et al.
Published: (2025)
by: Xie, Danning, et al.
Published: (2025)
CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)
by: Liu, Changshu, et al.
Published: (2024)
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
by: Manh, Dung Nguyen, et al.
Published: (2024)
by: Manh, Dung Nguyen, et al.
Published: (2024)
On the Effectiveness of Code Representation in Deep Learning-Based Automated Patch Correctness Assessment
by: Zhang, Quanjun, et al.
Published: (2026)
by: Zhang, Quanjun, et al.
Published: (2026)
A Benchmark for Evaluating Repository-Level Code Agents with Intermediate Reasoning on Feature Addition Task
by: Liu, Shuhan, et al.
Published: (2026)
by: Liu, Shuhan, et al.
Published: (2026)
Contextualized Code Pretraining for Code Generation
by: Liu, Chen, et al.
Published: (2026)
by: Liu, Chen, et al.
Published: (2026)
Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation
by: Ye, Sixiang, et al.
Published: (2025)
by: Ye, Sixiang, et al.
Published: (2025)
CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs
by: He, Pengfei, et al.
Published: (2025)
by: He, Pengfei, et al.
Published: (2025)
DRAINCODE: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context Poisoning
by: Wang, Yanlin, et al.
Published: (2026)
by: Wang, Yanlin, et al.
Published: (2026)
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities
by: Yang, Zezhou, et al.
Published: (2025)
by: Yang, Zezhou, et al.
Published: (2025)
Retrieval-Augmented Code Review Comment Generation
by: Hong, Hyunsun, et al.
Published: (2025)
by: Hong, Hyunsun, et al.
Published: (2025)
Evaluating Small-Scale Code Models for Code Clone Detection
by: Martinez-Gil, Jorge
Published: (2025)
by: Martinez-Gil, Jorge
Published: (2025)
ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code
by: Feng, Jia, et al.
Published: (2024)
by: Feng, Jia, et al.
Published: (2024)
Clean Code In Practice: Challenges and Opportunities
by: Yan, Dapeng, et al.
Published: (2025)
by: Yan, Dapeng, et al.
Published: (2025)
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Code Smell Detection
by: Zhang, Beiqi, et al.
Published: (2024)
by: Zhang, Beiqi, et al.
Published: (2024)
CodeCircuit: Toward Inferring LLM-Generated Code Correctness via Attribution Graphs
by: He, Yicheng, et al.
Published: (2026)
by: He, Yicheng, et al.
Published: (2026)
Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach
by: Liu, Haiyang, et al.
Published: (2024)
by: Liu, Haiyang, et al.
Published: (2024)
CodeRAG-Bench: Can Retrieval Augment Code Generation?
by: Wang, Zora Zhiruo, et al.
Published: (2024)
by: Wang, Zora Zhiruo, et al.
Published: (2024)
CodeArena: A Collective Evaluation Platform for LLM Code Generation
by: Du, Mingzhe, et al.
Published: (2025)
by: Du, Mingzhe, et al.
Published: (2025)
CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation
by: Huang, Dong, et al.
Published: (2023)
by: Huang, Dong, et al.
Published: (2023)
Similar Items
-
Comment Traps: How Defective Commented-out Code Augment Defects in AI-Assisted Code Generation
by: Huang, Yuan, et al.
Published: (2025) -
Evaluating and Achieving Controllable Code Completion in Code LLM
by: Zhang, Jiajun, et al.
Published: (2026) -
EffiReasonTrans: RL-Optimized Reasoning for Code Translation
by: Wang, Yanlin, et al.
Published: (2025) -
CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation
by: Yang, Guang, et al.
Published: (2025) -
UniCoR: Modality Collaboration for Robust Cross-Language Hybrid Code Retrieval
by: Yang, Yang, et al.
Published: (2025)