most citedExploring the Potential of Large Language Models in Self-adaptive Systems

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

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…

cs.CV2024

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…

cs.HC2024

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…

cs.SE20241 cited

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…

cs.LG2023

Value Iteration Networks with Gated Summarization Module

Jinyu Cai, Jialong Li, Mingyue Zhang +1

In this paper, we address the challenges faced by Value Iteration Networks (VIN) in handling larger input maps and mitigating the impact of accumulated errors caused by increased i…