16 citations · 16 across the 7 of their papers we have counts for
8 papers
SIM: Subspace Interaction-based Method for Token-Level Text Anomaly Detection
Kehan Yan, Yue Tan, Qingfeng Chen +3
Token-level text anomaly detection, as an emerging trend of text anomaly detection, moves beyond coarse-grained document-level detection by localizing anomalous tokens within text.…
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…
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games
Ke Yan
This work analyses the disparity in performance between Decision Transformer (DT) and Decision Mamba (DM) in sequence modelling reinforcement learning tasks for different Atari gam…
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…