49 citations · 65 across the 4 of their papers we have counts for
5 papers · 1 filter
A First Look at Bugs in LLM Inference Engines
Mugeng Liu, Siqi Zhong, Weichen Bi +5
Large language model-specific inference engines (in short as \emph{LLM inference engines}) have become a fundamental component of modern AI infrastructure, enabling the deployment…
LLM-Based Misconfiguration Detection for AWS Serverless Computing
Jinfeng Wen, Zhenpeng Chen, Federica Sarro +4
Serverless computing is an emerging cloud computing paradigm that enables developers to build applications at the function level, known as serverless applications. Amazon Web Servi…
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
Zhenpeng Chen, Huihan Yao, Yiling Lou +4
Deep Learning (DL) is finding its way into a growing number of mobile software applications. These software applications, named as DL based mobile applications (abbreviated as mobi…
A Comprehensive Study on Challenges in Deploying Deep Learning Based Software
Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu +3
Deep learning (DL) becomes increasingly pervasive, being used in a wide range of software applications. These software applications, named as DL based software (in short as DL soft…
SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering
Zhenpeng Chen, Yanbin Cao, Xuan Lu +2
Sentiment analysis has various application scenarios in software engineering (SE), such as detecting developers' emotions in commit messages and identifying their opinions on Q&A f…