no code implementations • 23 Dec 2024 • Beibei Yu, Tao Shen, Hongbin Na, Ling Chen, Denqi Li
Remote-sensing mineral exploration is critical for identifying economically viable mineral deposits, yet it poses significant challenges for multimodal large language models (MLLMs).
1 code implementation • 11 Dec 2024 • Jiayuan Ma, Hongbin Na, Zimu Wang, Yining Hua, Yue Liu, Wei Wang, Ling Chen
Mental manipulation severely undermines mental wellness by covertly and negatively distorting decision-making.
no code implementations • 21 Oct 2024 • Jianfei He, Lilin Wang, Jiaying Wang, Zhenyu Liu, Hongbin Na, Zimu Wang, Wei Wang, Qi Chen
Identifying offensive language is essential for maintaining safety and sustainability in the social media era.
no code implementations • 8 Oct 2024 • Hongbin Na, Tao Shen, Shumao Yu, Ling Chen
In psychotherapy, therapeutic outcome assessment, or treatment outcome evaluation, is essential for enhancing mental health care by systematically evaluating therapeutic processes and outcomes.
no code implementations • 21 Aug 2024 • Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David Clifton, John Torous
This scoping review aimed to assess the current generative applications of LLMs in mental health care, focusing on studies where these models were tested with human participants in real-world scenarios.
no code implementations • 24 Mar 2024 • Hongbin Na
Utilizing this dataset, we fine-tuned the large language model, giving birth to CBT-LLM, the large-scale language model specifically designed for Cognitive Behavioral Therapy techniques.
no code implementations • 16 Feb 2024 • Hongbin Na, Zimu Wang, Mieradilijiang Maimaiti, Tong Chen, Wei Wang, Tao Shen, Ling Chen
Large language models (LLMs) have demonstrated promising potential in various downstream tasks, including machine translation.
no code implementations • 1 Jan 2024 • Yining Hua, Fenglin Liu, Kailai Yang, Zehan Li, Hongbin Na, Yi-han Sheu, Peilin Zhou, Lauren V. Moran, Sophia Ananiadou, Andrew Beam, John Torous
There is a need to systematically review the application outcomes and delineate the advantages and limitations in clinical settings.