Team Member

Luzhou Peng

Research Member

Student Master Current Student

In Lab: 2024-09-01 - Present

Works on model evaluation and design.

Email: pengluzhou24s@ict.ac.cn Updated: 2026-03-11

Profile

Peng Luzhou focuses on model evaluation and design, and he proposed and implemented a population-level evaluation method for large language models.

He has also been involved in work such as model architecture design and dataset construction.

Research Interests

LLM Evaluation
Dataset and benchmark construction

Publications

Browse Publications

Browsing Publications

Scope All Year All Type All Venue All

Year Type Venue Publications 5 Publications

2026

Paper

When AI Designs AI: Innovation or Imitation?

Paper

Preprint | Aug 18, 2026

Yikang Yang First Zhengxin Yang Corr. Luzhou Peng Me Minghao Luo Yanqi Kan Wanling Gao Jianfeng Zhan

First:

Yikang Yang

Corresponding:

Zhengxin Yang

Preprint

When AI Designs AI: Innovation or Imitation?

@misc{yang2026aidesignsaiinnovation,
      title={When AI Designs AI: Innovation or Imitation?}, 
      author={Yikang Yang and Zhengxin Yang and Luzhou Peng and Minghao Luo and Yanqi Kan and Wanling Gao and Jianfeng Zhan},
      year={2026},
      eprint={2608.17471},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2608.17471}, 
}

GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures

Paper

Preprint | Feb 03, 2026

Yikang Yang First Zhengxin Yang Corr. Minghao Luo Luzhou Peng Me Hongxiao Li Wanling Gao Lei Wang Jianfeng Zhan

First:

Yikang Yang

Corresponding:

Zhengxin Yang

Preprint

GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures

@misc{yang2026gradegraphdiffusionestimator,
      title={GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures}, 
      author={Yikang Yang and Zhengxin Yang and Minghao Luo and Luzhou Peng and Hongxiao Li and Wanling Gao and Lei Wang and Jianfeng Zhan},
      year={2026},
      eprint={2602.03257},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2602.03257}, 
}

Probing Memes in LLMs: A Paradigm for the Entangled Evaluation World

Paper

Preprint | Feb 03, 2026

Luzhou Peng First Me Zhengxin Yang Corr. Honglu Ji Yikang Yang Fanda Fan Wanling Gao Jiayuan Ge Yilin Han Jianfeng Zhan

First:

Luzhou Peng

Corresponding:

Zhengxin Yang

Preprint

Probing Memes in LLMs: A Paradigm for the Entangled Evaluation World

@misc{peng2026probingmemesllmsparadigm,
      title={Probing Memes in LLMs: A Paradigm for the Entangled Evaluation World}, 
      author={Luzhou Peng and Zhengxin Yang and Honglu Ji and Yikang Yang and Fanda Fan and Wanling Gao and Jiayuan Ge and Yilin Han and Jianfeng Zhan},
      year={2026},
      eprint={2603.04408},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2603.04408}, 
}

2024

Paper

Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture

Paper

Preprint | Jun 20, 2024

Zhengxin Yang First Wanling Gao Luzhou Peng Me Yunyou Huang Fei Tang Jianfeng Zhan

First:

Zhengxin Yang

Preprint

Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture

@misc{yang2024youngerdatasetartificialintelligencegenerated,
      title={Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture}, 
      author={Zhengxin Yang and Wanling Gao and Luzhou Peng and Yunyou Huang and Fei Tang and Jianfeng Zhan},
      year={2024},
      eprint={2406.15132},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2406.15132}, 
}

AGIBench: A Multi-granularity, Multimodal, Human-Referenced, Auto-Scoring Benchmark for Large Language Models

Paper

BenchCouncil International Symposium On Evaluatology: Evaluation Science and Engineering (Bench) | Feb 14, 2024

Fei Tang First Wanling Gao Luzhou Peng Me Jianfeng Zhan Corr.

First:

Fei Tang

Corresponding:

Jianfeng Zhan

Paper

AGIBench: A Multi-granularity, Multimodal, Human-Referenced, Auto-Scoring Benchmark for Large Language Models

@InProceedings{10.1007/978-981-97-0316-6_9,
author="Tang, Fei
and Gao, Wanling
and Peng, LuZhou
and Zhan, Jianfeng",
editor="Hunold, Sascha
and Xie, Biwei
and Shu, Kai",
title="AGIBench: A Multi-granularity, Multimodal, Human-Referenced, Auto-Scoring Benchmark for Large Language Models",
booktitle="Benchmarking, Measuring, and Optimizing",
year="2024",
publisher="Springer Nature Singapore",
address="Singapore",
pages="137--152",
isbn="978-981-97-0316-6"
}