Saved in:
| Main Authors: | Xu, Xiaodan, Ni, Chao, Guo, Xinrong, Liu, Shaoxuan, Wang, Xiaoya, Liu, Kui, Yang, Xiaohu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.04704 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Detecting LLM-generated Code with Subtle Modification by Adversarial Training
by: Yin, Xin, et al.
Published: (2025)
by: Yin, Xin, et al.
Published: (2025)
Learning to Align Human Code Preferences
by: Yin, Xin, et al.
Published: (2025)
by: Yin, Xin, et al.
Published: (2025)
What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
Improving the Ability of Pre-trained Language Model by Imparting Large Language Model's Experience
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation
by: Ni, Chao, et al.
Published: (2024)
by: Ni, Chao, et al.
Published: (2024)
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)
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation
by: Ni, Chao, et al.
Published: (2024)
by: Ni, Chao, et al.
Published: (2024)
Rectifier: Code Translation with Corrector via LLMs
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks
by: Lu, Jiawei, et al.
Published: (2024)
by: Lu, Jiawei, et al.
Published: (2024)
Is This You, LLM? Recognizing AI-written Programs with Multilingual Code Stylometry
by: Gurioli, Andrea, et al.
Published: (2024)
by: Gurioli, Andrea, et al.
Published: (2024)
Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection
by: Yin, Xin, et al.
Published: (2025)
by: Yin, Xin, et al.
Published: (2025)
Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM
by: Yang, Xu, et al.
Published: (2025)
by: Yang, Xu, et al.
Published: (2025)
Zero-Shot Cross-Domain Code Search without Fine-Tuning
by: Liang, Keyu, et al.
Published: (2025)
by: Liang, Keyu, et al.
Published: (2025)
ThinkRepair: Self-Directed Automated Program Repair
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
Re-Evaluating Code LLM Benchmarks Under Semantic Mutation
by: Pan, Zhiyuan, et al.
Published: (2025)
by: Pan, Zhiyuan, et al.
Published: (2025)
Clean Code In Practice: Challenges and Opportunities
by: Yan, Dapeng, et al.
Published: (2025)
by: Yan, Dapeng, et al.
Published: (2025)
Learning-based Models for Vulnerability Detection: An Extensive Study
by: Ni, Chao, et al.
Published: (2024)
by: Ni, Chao, et al.
Published: (2024)
LLM4SZZ: Enhancing SZZ Algorithm with Context-Enhanced Assessment on Large Language Models
by: Tang, Lingxiao, et al.
Published: (2025)
by: Tang, Lingxiao, et al.
Published: (2025)
RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code Translation
by: Guan, Ziqi, et al.
Published: (2025)
by: Guan, Ziqi, et al.
Published: (2025)
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
by: Pan, Ruwei, et al.
Published: (2025)
by: Pan, Ruwei, et al.
Published: (2025)
How to Compare the Security of Code Written by Humans to LLM-generated Code
by: Balebako, Rebecca, et al.
Published: (2026)
by: Balebako, Rebecca, et al.
Published: (2026)
CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection
by: Dou, Shihan, et al.
Published: (2024)
by: Dou, Shihan, et al.
Published: (2024)
A Roadmap on Modern Code Review: Challenges and Opportunities
by: Yang, Zezhou, et al.
Published: (2024)
by: Yang, Zezhou, et al.
Published: (2024)
iCodeReviewer: Improving Secure Code Review with Mixture of Prompts
by: Peng, Yun, et al.
Published: (2025)
by: Peng, Yun, et al.
Published: (2025)
CREME: Robustness Enhancement of Code LLMs via Layer-Aware Model Editing
by: Liu, Shuhan, et al.
Published: (2025)
by: Liu, Shuhan, et al.
Published: (2025)
SolContractEval: A Benchmark for Evaluating Contract-Level Solidity Code Generation
by: Ye, Zhifan, et al.
Published: (2025)
by: Ye, Zhifan, et al.
Published: (2025)
Call-Chain-Aware LLM-Based Test Generation for Java Projects
by: Wang, Guancheng, et al.
Published: (2026)
by: Wang, Guancheng, et al.
Published: (2026)
Multitask-based Evaluation of Open-Source LLM on Software Vulnerability
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
HintPilot: LLM-based Compiler Hint Synthesis for Code Optimization
by: Jiang, Hanyun, et al.
Published: (2026)
by: Jiang, Hanyun, et al.
Published: (2026)
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)
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
by: Jiang, Nan, et al.
Published: (2023)
by: Jiang, Nan, et al.
Published: (2023)
An Empirical Study of Vulnerable Package Dependencies in LLM Repositories
by: Liu, Shuhan, et al.
Published: (2025)
by: Liu, Shuhan, et al.
Published: (2025)
Decoding Human-LLM Collaboration in Coding: An Empirical Study of Multi-Turn Conversations in the Wild
by: Zhang, Binquan, et al.
Published: (2025)
by: Zhang, Binquan, et al.
Published: (2025)
Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message
by: Li, Jiawei, et al.
Published: (2025)
by: Li, Jiawei, et al.
Published: (2025)
An Empirical Study of Interaction Smells in Multi-Turn Human-LLM Collaborative Code Generation
by: Zhang, Binquan, et al.
Published: (2026)
by: Zhang, Binquan, et al.
Published: (2026)
SeRe: A Security-Related Code Review Dataset Aligned with Real-World Review Activities
by: Zhao, Zixiao, et al.
Published: (2026)
by: Zhao, Zixiao, et al.
Published: (2026)
TriFusion-LLM: Prior-Guided Multimodal Fusion with LLM Arbitration for Fine-grained Code Clone Detection
by: Li, Mengdi, et al.
Published: (2026)
by: Li, Mengdi, et al.
Published: (2026)
LLMSniffer: Detecting LLM-Generated Code via GraphCodeBERT and Supervised Contrastive Learning
by: Dihan, Mahir Labib, et al.
Published: (2026)
by: Dihan, Mahir Labib, 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)
Deep Assessment of Code Review Generation Approaches: Beyond Lexical Similarity
by: Jiang, Yanjie, et al.
Published: (2025)
by: Jiang, Yanjie, et al.
Published: (2025)
Similar Items
-
Detecting LLM-generated Code with Subtle Modification by Adversarial Training
by: Yin, Xin, et al.
Published: (2025) -
Learning to Align Human Code Preferences
by: Yin, Xin, et al.
Published: (2025) -
What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation
by: Yin, Xin, et al.
Published: (2024) -
Improving the Ability of Pre-trained Language Model by Imparting Large Language Model's Experience
by: Yin, Xin, et al.
Published: (2024) -
CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation
by: Ni, Chao, et al.
Published: (2024)