Author

Ming-Zhe Du

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Preprint Aug 2026

MatReplace: A Reference-Free, Conditioning-Aligned Benchmark for Material Replacement in Interior Scenes

Material replacement is a common interior-design operation: changing the material of a selected surface while preserving its geometry, surroundings, and illumination. Despite its commercial relevance, no public benchmark isolates this task, and evaluating it is challenging. Reference-based metrics penalize valid output...

Ming-Zhe Du, T. Nguyen, Nguyen Tran Cong Duy et al. · 0 citations

Preprint Aug 2026

Ockhamareto: Pareto-Gated Segment-Level Credit Assignment for Concise Unit-Test Generation with Reinforcement Learning

Ockhamareto is introduced, a single-shot GRPO framework for unit-test generation and selection, based on the principles of Ockham's Razor and Pareto Optimality, and it is shown that the knee point of the optimal trade-off between efficiency and effectiveness on the Pareto front is not correlated with obvious more easil...

Dong Huang, Mark Harman, Jie M. Zhang et al. · 3 citations

#machine learning Preprint Sep 2026

Measuring the Checker: Mutation Analysis for GPU-Kernel Benchmark Oracles

Mutation analysis as an adequacy metric for kernel-benchmark oracles is introduced: deterministic rules inject 10 compilable faults into verified CUDA implementations of 188 KernelBench problems, 7{,}384 of them with an independent kill witness; any test protocol is scored by the fraction it detects.

Ming-Zhe Du, A. Lưu, Dong Huang et al. · 0 citations