Hongbin Na

According to our database, Hongbin Na authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Overview of the PsyDefDetect Shared Task at BioNLP 2026: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations.

Hongbin Na, Zimu Wang, Zhaoming Chen, Yining Hua, Rena Gao, Kailai Yang, Ling Chen, Wei Wang, Shaoxiong Ji, John B. Torous, Sophia Ananiadou

CoRR, May, 2026

Design and Report Benchmarks for Knowledge Work.

Yining Hua, Hongbin Na, Cyrus Ayubcha, Levi Lian

CoRR, May, 2026

2025

You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations.

Hongbin Na, Zimu Wang, Zhaoming Chen, Peilin Zhou, Yining Hua, Grace Ziqi Zhou, Haiyang Zhang, Tao Shen, Wei Wang, John B. Torous, Shaoxiong Ji, Ling Chen

CoRR, December, 2025

A scoping review of large language models for generative tasks in mental health care.

Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David A. Clifton, John B. Torous

npj Digit. Medicine, 2025

Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies.

Zirui Song, Guangxian Ouyang, Meng Fang, Hongbin Na, Zijing Shi, Zhenhao Chen, Yujie Fu, Zeyu Zhang, Shiyu Jiang, Miao Fang, Ling Chen, Xiuying Chen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement.

Haotan Guo, Jianfei He, Jiayuan Ma, Hongbin Na, Zimu Wang, Haiyang Zhang, Qi Chen, Wei Wang, Zijing Shi, Tao Shen, Ling Chen

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Detecting Conversational Mental Manipulation with Intent-Aware Prompting.

Jiayuan Ma, Hongbin Na, Zimu Wang, Yining Hua, Yue Liu, Wei Wang, Ling Chen

Proceedings of the 31st International Conference on Computational Linguistics, 2025

A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions.

Hongbin Na, Yining Hua, Zimu Wang, Tao Shen, Beibei Yu, Lilin Wang, Wei Wang, John B. Torous, Ling Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

Beibei Yu, Tao Shen, Hongbin Na, Ling Chen, Denqi Li

CoRR, 2024

Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection.

Jianfei He, Lilin Wang, Jiaying Wang, Zhenyu Liu, Hongbin Na, Zimu Wang, Wei Wang, Qi Chen

CoRR, 2024

Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy.

Hongbin Na, Tao Shen, Shumao Yu, Ling Chen

CoRR, 2024

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

Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David A. Clifton, John B. Torous

CoRR, 2024

Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation.

Hongbin Na, Zimu Wang, Mieradilijiang Maimaiti, Tong Chen, Wei Wang, Tao Shen, Ling Chen

CoRR, 2024

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

Hongbin Na

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Attention-Based Multimodal Bilinear Feature Fusion for Lung Cancer Survival Analysis.

Hongbin Na, Lilin Wang, Xinyao Zhuang, Jianfei He, Zhenyu Liu, Zimu Wang, Hong-Seng Gan

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023