75 citations · 80 across the 14 of their papers we have counts for
9 papers · 1 filter
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…