most citedA Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions

5 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2025

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 +9

Psychological defenses are strategies, often automatic, that people use to manage distress. Rigid or overuse of defenses is negatively linked to mental health and shapes what speak…

cs.CL2025

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

Haotan Guo, Jianfei He, Jiayuan Ma +8

Phonetic Cloaking Replacement (PCR), defined as the deliberate use of homophonic or near-homophonic variants to hide toxic intent, has become a major obstacle to Chinese content mo…

cs.CL2025★ 5 cited

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

Hongbin Na, Yining Hua, Zimu Wang +6

Mental health is increasingly critical in contemporary healthcare, with psychotherapy demanding dynamic, context-sensitive interactions that traditional NLP methods struggle to cap…

cs.AI2024

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

Beibei Yu, Tao Shen, Hongbin Na +2

Remote-sensing mineral exploration is critical for identifying economically viable mineral deposits, yet it poses significant challenges for multimodal large language models (MLLMs…

cs.CL2024

Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy

Hongbin Na, Tao Shen, Shumao Yu +1

In psychotherapy, therapeutic outcome assessment, or treatment outcome evaluation, is essential to mental health care by systematically evaluating therapeutic processes and outcome…

cs.CL2024

Thinker-DDM: Modeling Deliberation for Machine Translation with a Drift-Diffusion Process

Hongbin Na, Zimu Wang, Mieradilijiang Maimaiti +4

Large language models (LLMs) have demonstrated promising potential in various downstream tasks, including machine translation. However, prior work on LLM-based machine translation…