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ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation

Autor: Xu, Yijiang, Jia, Hongrui, Chen, Liguo, Wang, Xin, Zeng, Zhengran, Wang, Yidong, Gao, Qing, Wang, Jindong, Ye, Wei, Zhang, Shikun, Wu, Zhonghai

Fuzz testing is crucial for identifying software vulnerabilities, with coverage-guided grey-box fuzzers like AFL and Angora excelling in broad detection. However, as the need for targeted detection grows, directed grey-box fuzzing (DGF) has become es

Externí odkaz: http://arxiv.org/abs/2409.14329

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A Survey on Evaluating Large Language Models in Code Generation Tasks

Autor: Chen, Liguo, Guo, Qi, Jia, Hongrui, Zeng, Zhengran, Wang, Xin, Xu, Yijiang, Wu, Jian, Wang, Yidong, Gao, Qing, Wang, Jindong, Ye, Wei, Zhang, Shikun

This paper provides a comprehensive review of the current methods and metrics used to evaluate the performance of Large Language Models (LLMs) in code generation tasks. With the rapid growth in demand for automated software development, LLMs have dem

Externí odkaz: http://arxiv.org/abs/2408.16498

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HeR-DRL:Heterogeneous Relational Deep Reinforcement Learning for Decentralized Multi-Robot Crowd Navigation

Autor: Zhou, Xinyu, Piao, Songhao, Chi, Wenzheng, Chen, Liguo, Li, Wei

Crowd navigation has received significant research attention in recent years, especially DRL-based methods. While single-robot crowd scenarios have dominated research, they offer limited applicability to real-world complexities. The heterogeneity of

Externí odkaz: http://arxiv.org/abs/2403.10083

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Prediction of the Economic Behavior of Fishery Biotechnology Companies Based on Machine Learning-Based Deep Metacellular Automata

Autor: Chen, Liguo, Hua, Hongyang, Luo, Xinyue, Xu, Guoli, Yan, Xu

Ocean warming significantly affects the fishing industry, with species like Scottish herring and mackerel migrating northwards. Our research, a fusion of artificial intelligence, data science, and operations research, addresses this crisis. Using Lon

Externí odkaz: http://arxiv.org/abs/2402.13509

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Akademický článek

Composition Characteristics and Hypoglycaemic Activity of Phospholipids in Krill Oil as Determined by High-Resolution Mass Spectrometry and Zebrafish

Autor: LIU Huiru, LI Wenyu, CHEN Liguo, WANG Hao, ZHOU Fang, HAN Liwen

Publikováno v: Shipin Kexue, Vol 45, Iss 18, Pp 134-142 (2024)

In this study, in order to investigate the phospholipid composition characteristics and hypoglycemic activity of krill oil, we determined the content of total phospholipids in krill oil by a colorimetric method, examined the phospholipid composition

Externí odkaz: https://doaj.org/article/0fb0a47cbc444d5c9a725abb660281d6