CryptoX : Compositional Reasoning Evaluation of Large Language Models

1 code implementation • 8 Feb 2025 • Jiajun Shi, Chaoren Wei, Liqun Yang, Zekun Moore Wang, Chenghao Yang, Ge Zhang, Stephen Huang, Tao Peng, Jian Yang, Zhoufutu Wen

In this paper, we introduce CryptoX, an evaluation framework that, for the first time, combines existing benchmarks and cryptographic, to quantify the compositional reasoning capacity of LLMs.

FuzzCoder: Byte-level Fuzzing Test via Large Language Model

1 code implementation • 3 Sep 2024 • Liqun Yang, Jian Yang, Chaoren Wei, Guanglin Niu, Ge Zhang, Yunli Wang, Linzheng Chai, Wanxu Xia, Hongcheng Guo, Shun Zhang, Jiaheng Liu, Yuwei Yin, Junran Peng, Jiaxin Ma, Liang Sun, Zhoujun Li

In this work, we propose to adopt fine-tuned large language models (FuzzCoder) to learn patterns in the input files from successful attacks to guide future fuzzing explorations.

Language Modeling Language Modelling +2