Saved in:
| Main Authors: | Chen, Siyu, Yang, Jiongyi, Chen, Xiang, Zheng, Menglin, Wei, Minnan, Ju, Xiaolin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.23534 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating and Improving Large Language Models for Competitive Program Generation
by: Wei, Minnan, et al.
Published: (2025)
by: Wei, Minnan, et al.
Published: (2025)
Leveraging multi-task learning to improve the detection of SATD and vulnerability
by: Russo, Barbara, et al.
Published: (2025)
by: Russo, Barbara, et al.
Published: (2025)
ARIADNE: Agentic Reward-Informed Adaptive Decision Exploration via Blackboard-Driven MCTS for Competitive Program Generation
by: Wei, Minnan, et al.
Published: (2026)
by: Wei, Minnan, et al.
Published: (2026)
A Systematic Literature Review on Neural Code Translation
by: Chen, Xiang, et al.
Published: (2025)
by: Chen, Xiang, et al.
Published: (2025)
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer -- A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities
by: Zhang, Tiehua, et al.
Published: (2023)
by: Zhang, Tiehua, et al.
Published: (2023)
An Empirical Study of OpenAI API Discussions on Stack Overflow
by: Chen, Xiang, et al.
Published: (2025)
by: Chen, Xiang, et al.
Published: (2025)
An empirical analysis of vulnerability detection tools for solidity smart contracts
by: Salzano, Francesco, et al.
Published: (2025)
by: Salzano, Francesco, et al.
Published: (2025)
SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion
by: Gao, Chaoyang, et al.
Published: (2025)
by: Gao, Chaoyang, et al.
Published: (2025)
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language Models
by: Zhang, Quanjun, et al.
Published: (2025)
by: Zhang, Quanjun, et al.
Published: (2025)
A unit-based symbolic execution method for detecting memory corruption vulnerabilities in executable codes
by: Baradaran, Sara, et al.
Published: (2022)
by: Baradaran, Sara, et al.
Published: (2022)
Pre-trained Model-based Actionable Warning Identification: A Feasibility Study
by: Ge, Xiuting, et al.
Published: (2024)
by: Ge, Xiuting, et al.
Published: (2024)
Cross-site scripting adversarial attacks based on deep reinforcement learning: Evaluation and extension study
by: Pasini, Samuele, et al.
Published: (2025)
by: Pasini, Samuele, et al.
Published: (2025)
SPVR: syntax-to-prompt vulnerability repair based on large language models
by: Wang, Ruoke, et al.
Published: (2024)
by: Wang, Ruoke, et al.
Published: (2024)
Llama-based source code vulnerability detection: Prompt engineering vs Fine tuning
by: Ouchebara, Dyna Soumhane, et al.
Published: (2025)
by: Ouchebara, Dyna Soumhane, et al.
Published: (2025)
Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing
by: Mu, Yanzhou, et al.
Published: (2025)
by: Mu, Yanzhou, et al.
Published: (2025)
Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation
by: Zhu, Qiming, et al.
Published: (2025)
by: Zhu, Qiming, et al.
Published: (2025)
Evaluating and Improving Automated Repository-Level Rust Issue Resolution with LLM-based Agents
by: Xiang, Jiahong, et al.
Published: (2026)
by: Xiang, Jiahong, et al.
Published: (2026)
Are your comments outdated? Towards automatically detecting code-comment consistency
by: Huang, Yuan, et al.
Published: (2024)
by: Huang, Yuan, et al.
Published: (2024)
HerAgent: Rethinking the Automated Environment Deployment via Hierarchical Test Pyramid
by: Li, Xiang, et al.
Published: (2026)
by: Li, Xiang, et al.
Published: (2026)
An Empirical Study of Interaction Bugs in ROS-based Software
by: Chen, Zhixiang, et al.
Published: (2025)
by: Chen, Zhixiang, et al.
Published: (2025)
MBFL-DKMR: Improving Mutation-based Fault Localization through Denoising-based Kill Matrix Refinement
by: Liu, Hengyuan, et al.
Published: (2025)
by: Liu, Hengyuan, et al.
Published: (2025)
Challenges of Using Pre-trained Models: the Practitioners' Perspective
by: Tan, Xin, et al.
Published: (2024)
by: Tan, 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)
Improving Retrieval-Augmented Deep Assertion Generation via Joint Training
by: Zhang, Quanjun, et al.
Published: (2025)
by: Zhang, Quanjun, et al.
Published: (2025)
Assessing LLM code generation quality through path planning tasks
by: Chen, Wanyi, et al.
Published: (2025)
by: Chen, Wanyi, et al.
Published: (2025)
AI-augmented Automation for Real Driving Prediction: an Industrial Use Case
by: Eramo, Romina, et al.
Published: (2024)
by: Eramo, Romina, et al.
Published: (2024)
Improving classifier-based effort-aware software defect prediction by reducing ranking errors
by: Guo, Yuchen, et al.
Published: (2024)
by: Guo, Yuchen, 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)
by: Chen, Zhixiang, et al.
Published: (2024)
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code
by: Chen, Yujia, et al.
Published: (2024)
by: Chen, Yujia, et al.
Published: (2024)
Directional Diffusion-Style Code Editing Pre-training
by: Liang, Qingyuan, et al.
Published: (2025)
by: Liang, Qingyuan, et al.
Published: (2025)
AppPoet: Large Language Model based Android malware detection via multi-view prompt engineering
by: Zhao, Wenxiang, et al.
Published: (2024)
by: Zhao, Wenxiang, et al.
Published: (2024)
FLIMs: Fault Localization Interference Mutants, Definition, Recognition and Mitigation
by: Liu, Hengyuan, et al.
Published: (2025)
by: Liu, Hengyuan, et al.
Published: (2025)
STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis
by: Liu, Junwei, et al.
Published: (2024)
by: Liu, Junwei, et al.
Published: (2024)
Improving Front-end Performance through Modular Rendering and Adaptive Hydration (MRAH) in React Applications
by: Chen, Kaitao
Published: (2025)
by: Chen, Kaitao
Published: (2025)
Prometheus: Towards Long-Horizon Codebase Navigation for Repository-Level Problem Solving
by: Pan, Yue, et al.
Published: (2025)
by: Pan, Yue, et al.
Published: (2025)
Improving Compiler Bug Isolation by Leveraging Large Language Models
by: Qi, Yixian, et al.
Published: (2025)
by: Qi, Yixian, et al.
Published: (2025)
Log Parsing using LLMs with Self-Generated In-Context Learning and Self-Correction
by: Wu, Yifan, et al.
Published: (2024)
by: Wu, Yifan, et al.
Published: (2024)
RustRepoTrans: Repository-level Code Translation Benchmark Targeting Rust
by: Ou, Guangsheng, et al.
Published: (2024)
by: Ou, Guangsheng, et al.
Published: (2024)
CoCo-Bench: A Comprehensive Code Benchmark For Multi-task Large Language Model Evaluation
by: Yin, Wenjing, et al.
Published: (2025)
by: Yin, Wenjing, et al.
Published: (2025)
TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration
by: Gu, Siqi, et al.
Published: (2024)
by: Gu, Siqi, et al.
Published: (2024)
Similar Items
-
Evaluating and Improving Large Language Models for Competitive Program Generation
by: Wei, Minnan, et al.
Published: (2025) -
Leveraging multi-task learning to improve the detection of SATD and vulnerability
by: Russo, Barbara, et al.
Published: (2025) -
ARIADNE: Agentic Reward-Informed Adaptive Decision Exploration via Blackboard-Driven MCTS for Competitive Program Generation
by: Wei, Minnan, et al.
Published: (2026) -
A Systematic Literature Review on Neural Code Translation
by: Chen, Xiang, et al.
Published: (2025) -
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer -- A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities
by: Zhang, Tiehua, et al.
Published: (2023)