75 citations · 80 across the 14 of their papers we have counts for
18 papers
Bridging the Interpretation Gap in Accessibility Testing: Empathetic and Legal-Aware Bug Report Generation via Large Language Models
Ryoya Koyama, Zhiyao Wang, Devi Karolita +2
Modern automated accessibility testing tools for mobile applications have significantly improved the detection of interface violations, yet their impact on remediation remains limi…
Robust Exploration in Directed Controller Synthesis via Reinforcement Learning with Soft Mixture-of-Experts
Toshihide Ubukata, Zhiyao Wang, Enhong Mu +2
On-the-fly Directed Controller Synthesis (OTF-DCS) mitigates state-space explosion by incrementally exploring the system and relies critically on an exploration policy to guide sea…
See What I See: An Attention-Guiding eHMI Approach for Autonomous Vehicles
Jialong Li, Zhenyu Mao, Zhiyao Wang +4
As autonomous vehicles are gradually being deployed in the real world, external Human-Machine Interfaces (eHMIs) are expected to serve as a critical solution for enhancing vehicle-…
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…
Automatic Syntax Error Repair for Discrete Controller Synthesis using Large Language Model
Yusei Ishimizu, Takuto Yamauchi, Sinan Chen +3
Discrete Controller Synthesis (DCS) is a powerful formal method for automatically generating specifications of discrete event systems. However, its practical adoption is often hind…
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…
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…
Knowledge Graph-enhanced Large Language Model for Incremental Game PlayTesting
Enhong Mu, Jinyu Cai, Yijun Lu +3
The rapid iteration and frequent updates of modern video games pose significant challenges to the efficiency and specificity of testing. Although automated playtesting methods base…
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…
Diffusion Model for Planning: A Systematic Literature Review
Toshihide Ubukata, Jialong Li, Kenji Tei
Diffusion models, which leverage stochastic processes to capture complex data distributions effectively, have shown their performance as generative models, achieving notable succes…
Towards Context-aware Support for Color Vision Deficiency: An Approach Integrating LLM and AR
Shogo Morita, Yan Zhang, Takuto Yamauchi +3
People with color vision deficiency often face challenges in distinguishing colors such as red and green, which can complicate daily tasks and require the use of assistive tools or…
Automatic Adaptation Rule Optimization via Large Language Models
Yusei Ishimizu, Jialong Li, Jinglue Xu +3
Rule-based adaptation is a foundational approach to self-adaptation, characterized by its human readability and rapid response. However, building high-performance and robust adapta…
Exploring the Improvement of Evolutionary Computation via Large Language Models
Jinyu Cai, Jinglue Xu, Jialong Li +3
Evolutionary computation (EC), as a powerful optimization algorithm, has been applied across various domains. However, as the complexity of problems increases, the limitations of E…
Language Evolution for Evading Social Media Regulation via LLM-based Multi-agent Simulation
Jinyu Cai, Jialong Li, Mingyue Zhang +3
Social media platforms such as Twitter, Reddit, and Sina Weibo play a crucial role in global communication but often encounter strict regulations in geopolitically sensitive region…
Large Language Models Synergize with Automated Machine Learning
Jinglue Xu, Jialong Li, Zhen Liu +5
Recently, program synthesis driven by large language models (LLMs) has become increasingly popular. However, program synthesis for machine learning (ML) tasks still poses significa…
User-Driven Adaptation: Tailoring Autonomous Driving Systems with Dynamic Preferences
Mingyue Zhang, Jialong Li, Nianyu Li +2
In the realm of autonomous vehicles, dynamic user preferences are critical yet challenging to accommodate. Existing methods often misrepresent these preferences, either by overlook…
Multi-role Consensus through LLMs Discussions for Vulnerability Detection
Zhenyu Mao, Jialong Li, Dongming Jin +2
Recent advancements in large language models (LLMs) have highlighted the potential for vulnerability detection, a crucial component of software quality assurance. Despite this prog…
Exploring the Potential of Large Language Models in Self-adaptive Systems
Jialong Li, Mingyue Zhang, Nianyu Li +3
Large Language Models (LLMs), with their abilities in knowledge acquisition and reasoning, can potentially enhance the various aspects of Self-adaptive Systems (SAS). Yet, the pote…