3 papers
cs.SE2025
Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency
Junwei Hu, Weicheng Zheng, Yihan Liu +1
With the increasing adoption of large language models (LLMs) in software engineering, the Chain of Thought (CoT) reasoning paradigm has become an essential approach for automated c…
cs.SE2024
Explaining the Contributing Factors for Vulnerability Detection in Machine Learning
Esma Mouine, Yan Liu, Lu Xiao +2
There is an increasing trend to mine vulnerabilities from software repositories and use machine learning techniques to automatically detect software vulnerabilities. A fundamental…
cs.SE2023
APPT: Boosting Automated Patch Correctness Prediction via Fine-tuning Pre-trained Models
Quanjun Zhang, Chunrong Fang, Weisong Sun +4
Automated program repair (APR) aims to fix software bugs automatically without human debugging efforts and plays a crucial role in software development and maintenance. Despite pro…