5 accepted papers
Recently, due to the explosive advances of large language models (LLMs) on English, cross-lingual continual pretraining has been widely applied in obtaining Chinese LLMs. However, previous studies showed that these LLMs have suffered severe hallucinations, mainly caused by noisy tokens. To this aim,…
Tele-homecare has become a promising approach to meet the growing demand for elderly and disability care. In such a context, ensuring human-robot interaction safety during teleoperation poses a critical challenge. Existing teleoperation control approaches focus solely on the robot’s end-effector tra
Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP) but pose risks of inadvertently exposing copyrighted or proprietary data, especially when such data is used for training but not intended for distribution. Traditional methods address these leaks only after content is
Multimodal Aspect-Based Sentiment Analysis (MABSA) aims to extract aspect terms from text-image pairs and identify their sentiments. Previous methods are based on the premise that the image contains the objects referred by the aspects within the text. However, this condition cannot always be met, re…
When a conventional robot arm, driven by magnetic motors and reduction gears, operates at high speed, it can produce an excessive force due to unexpected contact. Toward the development of a safe robot arm, the present study investigated a 2-degree-of-freedom robot arm driven by direct-drive electro…