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20242026
most citedRLCoder: Reinforcement Learning for Repository-Level Code Completion

3 citations · 9 across the 20 of their papers we have counts for

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18 papers · 1 filter

cs.SE2026

Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation

Kefeng Duan, Dewu Zheng, Yanlin Wang +8

The repository-level code generation task requires synthesizing code that satisfies task requirements while remaining consistent with the target repository context. Since real-worl…

cs.SE2026

From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench

Dewu Zheng, Yanlin Wang, Xiwen Wang +5

In real-world software development, code review typically involves iterative interactions between developers and reviewers to improve software quality, making the process costly an…

cs.SE2026

RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models

Yanlin Wang, Suiquan Wang, Yanli Wang +4

Recent large language models (LLMs) have shown strong performance on software engineering tasks, yet most existing benchmarks evaluate code reasoning at the function level, where a…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…