[HTML][HTML] Large language models meet next-generation networking technologies: A review

CN Hang, PD Yu, R Morabito, CW Tan - Future Internet, 2024 - mdpi.com
The evolution of network technologies has significantly transformed global communication,
information sharing, and connectivity. Traditional networks, relying on static configurations …

A survey on large language models for software engineering

Q Zhang, C Fang, Y **e, Y Zhang, Y Yang… - arxiv preprint arxiv …, 2023 - arxiv.org
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …

Llm for mobile: An initial roadmap

D Chen, Y Liu, M Zhou, Y Zhao, H Wang… - ACM Transactions on …, 2024 - dl.acm.org
When mobile meets LLMs, mobile app users deserve to have more intelligent usage
experiences. For this to happen, we argue that there is a strong need to apply LLMs for the …

[HTML][HTML] Leveraging Large Language Models for Enhancing Safety in Maritime Operations

T Miller, I Durlik, E Kostecka, A Łobodzińska… - Applied Sciences, 2025 - mdpi.com
Maritime operations play a critical role in global trade but face persistent safety challenges
due to human error, environmental factors, and operational complexities. This review …

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis

J Huang, Z Jiang, J Liu, Y Huo, J Gu… - 2024 IEEE 35th …, 2024 - ieeexplore.ieee.org
Logs are imperative in the maintenance of online service systems, which often encompass
important information for effective failure mitigation. While existing anomaly detection …

Log Parsing with Self-Generated In-Context Learning and Self-Correction

Y Wu, S Yu, Y Li - arxiv preprint arxiv:2406.03376, 2024 - arxiv.org
Log parsing transforms log messages into structured formats, serving as a crucial step for
log analysis. Despite a variety of log parsing methods that have been proposed, their …

Using large language models for template detection from security event logs

R Vaarandi, H Bahsi - arxiv preprint arxiv:2409.05045, 2024 - arxiv.org
In modern IT systems and computer networks, real-time and offline event log analysis is a
crucial part of cyber security monitoring. In particular, event log analysis techniques are …

chatHPC: Empowering HPC users with large language models

J Yin, J Hines, E Herron, T Ghosal, H Liu… - The Journal of …, 2025 - Springer
The ever-growing number of pre-trained large language models (LLMs) across scientific
domains presents a challenge for application developers. While these models offer vast …

LLM-powered Zero-shot Online Log Parsing

C Zhi, L Cheng, M Liu, X Zhao, Y Xu… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Log parsing is an essential step for log analysis, which transforms raw log messages into
structured form by extracting the log templates. Automatic log parsing have been the subject …

Stronger, Cheaper and Demonstration-Free Log Parsing with LLMs

Y **ao, VH Le, H Zhang - arxiv preprint arxiv:2406.06156, 2024 - arxiv.org
Log parsing, the process of converting raw log messages into structured formats, is an
important initial step for automated analysis of logs of large-scale software systems …