From the 1 of 18 linked papers with an AI index.
15 papers
RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models
Yanlin Wang, Suiquan Wang, Yanli Wang +4
The paper presents RepoReasoner, a benchmark that evaluates how well large language models can reason about code across multiple files in a repository, testing both fine-grained ex…
His2Trans: A Knowledge-Guided Agentic Framework for Project-Level C-to-Rust Migration
Shengbo Wang, Mingwei Liu, Guangsheng Ou +3
C remains a major implementation language for operating systems, embedded platforms, and infrastructure software, but manual memory management continues to create security and main…
AlignCoder: Aligning Retrieval with Target Intent for Repository-Level Code Completion
Tianyue Jiang, Yanli Wang, Yanlin Wang +5
Repository-level code completion remains a challenging task for existing code large language models (code LLMs) due to their limited understanding of repository-specific context an…
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code
Kaifeng He, Xiaojun Zhang, Peiliang Cai +7
Large language models (LLMs) frequently generate defective outputs in code generation tasks, ranging from logical bugs to security vulnerabilities. While these generation failures…
AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation
Xinyu Li, Yintong Huo, Chenxi Mao +4
Log-based anomaly detection is fundamentally constrained by training data sparsity. Our empirical study reveals that public benchmark datasets cover less than 10% of source code lo…
Architecture-Aware Multi-Design Generation for Repository-Level Feature Addition
Mingwei Liu, Zhenxi Chen, Zheng Pei +3
Implementing new features across an entire codebase presents a formidable challenge for Large Language Models (LLMs). This proactive task requires a deep understanding of the globa…