Summary of Cpsycoun: a Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework For Chinese Psychological Counseling, by Chenhao Zhang et al.
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
by Chenhao Zhang, Renhao Li, Minghuan Tan, Min Yang, Jingwei Zhu, Di Yang, Jiahao Zhao, Guancheng Ye, Chengming Li, Xiping Hu
First submitted to arxiv on: 26 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A large language model (LLM) can significantly improve psychological counseling, but current approaches are limited by the lack of consulting knowledge in datasets. To bridge this gap, researchers propose a framework called CPsyCoun that reconstructs and evaluates multi-turn dialogues for Chinese psychological counseling. The framework consists of two phases: constructing high-quality dialogues from reports and developing an evaluation benchmark for automatic evaluation. Experimental results show the effectiveness of CPsyCoun in enhancing counseling processes. This research opens up new avenues for improving mental health services. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Using computers to help people talk about their feelings can be very helpful, but it’s not easy to do well. The problem is that most computer programs don’t have the same kind of knowledge or experience as a real counselor. To make this work better, scientists created a new way to use reports from counseling sessions to create conversations between the computer and the person being counseled. They also made a special tool to help figure out if the conversation was going well. This new system worked really well in tests and could be used to help people get the support they need. |
Keywords
» Artificial intelligence » Large language model
