Mingzhe Du PRO

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authored a paper 24 days ago

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

Paper • 2602.17684 • Published Feb 4 • 22

authored 2 papers about 1 month ago

Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model

Paper • 2602.07422 • Published Feb 7 • 22

EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code

Paper • 2505.13004 • Published May 19, 2025

authored a paper 8 months ago

SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?

Paper • 2507.12415 • Published Jul 16, 2025 • 43

authored 2 papers 10 months ago

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization

Paper • 2505.23387 • Published May 29, 2025 • 8

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning

Paper • 2505.11049 • Published May 16, 2025 • 61

authored 4 papers about 1 year ago

Rethinking the Influence of Source Code on Test Case Generation

Paper • 2409.09464 • Published Sep 14, 2024 • 1

CodeArena: A Collective Evaluation Platform for LLM Code Generation

Paper • 2503.01295 • Published Mar 3, 2025 • 8

Mercury: An Efficiency Benchmark for LLM Code Synthesis

Paper • 2402.07844 • Published Feb 12, 2024 • 2

AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge

Paper • 2412.13670 • Published Dec 18, 2024 • 6