8 papers
SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models
Jinyu Cai, Jialong Li, Nianyu Li +3
The rapid iteration cycles of modern live-service games make regression testing indispensable for maintaining quality and stability. However, existing regression testing approaches…
Simulation of Language Evolution under Regulated Social Media Platforms: A Synergistic Approach of Large Language Models and Genetic Algorithms
Jinyu Cai, Yusei Ishimizu, Mingyue Zhang +3
Social media platforms frequently impose restrictive policies to moderate user content, prompting the emergence of creative evasion language strategies. This paper presents a multi…
FAROS: Robust Federated Learning with Adaptive Scaling against Backdoor Attacks
Chenyu Hu, Qiming Hu, Sinan Chen +3
Federated Learning (FL) enables multiple clients to collaboratively train a shared model without exposing local data. However, backdoor attacks pose a significant threat to FL. The…
Graph Contextual Reinforcement Learning for Efficient Directed Controller Synthesis
Toshihide Ubukata, Enhong Mu, Takuto Yamauchi +3
Controller synthesis is a formal method approach for automatically generating Labeled Transition System (LTS) controllers that satisfy specified properties. The efficiency of the s…
Synergizing Code Coverage and Gameplay Intent: Coverage-Aware Game Playtesting with LLM-Guided Reinforcement Learning
Enhong Mu, Minami Yoda, Yan Zhang +3
The widespread adoption of the "Games as a Service" model necessitates frequent content updates, placing immense pressure on quality assurance. In response, automated game testing…
Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap
Jialong Li, Mingyue Zhang, Nianyu Li +3
Self-adaptive systems (SASs) are designed to handle changes and uncertainties through a feedback loop with four core functionalities: monitoring, analyzing, planning, and execution…