4 papers
MLLM-Fabric: Multimodal Large Language Model-Driven Robotic Framework for Fabric Sorting and Selection
Liman Wang, Hanyang Zhong, Tianyuan Wang +2
Choosing appropriate fabrics is critical for meeting functional and quality demands in robotic textile manufacturing, apparel production, and smart retail. We propose MLLM-Fabric,…
Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions
Hanyang Zhong, Liman Wang, Wenting Cao +1
This paper examines the role of cognitive biases in the decision-making processes of large language models (LLMs), challenging the conventional goal of eliminating all biases. When…
FENet: Focusing Enhanced Network for Lane Detection
Liman Wang, Hanyang Zhong
Inspired by human driving focus, this research pioneers networks augmented with Focusing Sampling, Partial Field of View Evaluation, Enhanced FPN architecture and Directional IoU L…
LLM-SAP: Large Language Models Situational Awareness Based Planning
Liman Wang, Hanyang Zhong
This study explores integrating large language models (LLMs) with situational awareness-based planning (SAP) to enhance the decision-making capabilities of AI agents in dynamic and…