Search Results for author: Hongbin Na

Found 8 papers, 1 papers with code

MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models

no code implementations23 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).

Decision Making

Detecting Conversational Mental Manipulation with Intent-Aware Prompting

1 code implementation11 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.

Decision Making

Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection

no code implementations21 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.

Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy

no code implementations8 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.

Language Modeling Language Modelling +1

Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks

no code implementations21 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.

Fairness

CBT-LLM: A Chinese Large Language Model for Cognitive Behavioral Therapy-based Mental Health Question Answering

no code implementations24 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.

Language Modeling Language Modelling +2

Large Language Models in Mental Health Care: a Scoping Review

no code implementations1 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.

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