6 papers
An empirical study of LoRA-based fine-tuning of large language models for automated test case generation
Milad Moradi, Ke Yan, David Colwell +1
Automated test case generation from natural language requirements remains a challenging problem in software engineering due to the ambiguity of requirements and the need to produce…
Multi-modal user interface control detection using cross-attention
Milad Moradi, Ke Yan, David Colwell +2
Detecting user interface (UI) controls from software screenshots is a critical task for automated testing, accessibility, and software analytics, yet it remains challenging due to…
ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants
Pei Wang, Yanan Wu, Xiaoshuai Song +13
Large language model (LLM)-based agents are increasingly deployed in e-commerce shopping. To perform thorough, user-tailored product searches, agents should interpret personal pref…
Beyond a Single Perspective: Text Anomaly Detection with Multi-View Language Representations
Yixin Liu, Kehan Yan, Shiyuan Li +2
Text anomaly detection (TAD) plays a critical role in various language-driven real-world applications, including harmful content moderation, phishing detection, and spam review fil…
Artificial intelligence for context-aware visual change detection in software test automation
Milad Moradi, Ke Yan, David Colwell +1
Automated software testing is integral to the software development process, streamlining workflows and ensuring product reliability. Visual testing, particularly for user interface…
A critical review of methods and challenges in large language models
Milad Moradi, Ke Yan, David Colwell +2
This critical review provides an in-depth analysis of Large Language Models (LLMs), encompassing their foundational principles, diverse applications, and advanced training methodol…