42 citations · 91 across the 16 of their papers we have counts for
8 papers · 1 filter
PsyChat: A Client-Centric Dialogue System for Mental Health Support
Huachuan Qiu, Anqi Li, Lizhi Ma +1
Dialogue systems are increasingly integrated into mental health support to help clients facilitate exploration, gain insight, take action, and ultimately heal themselves. A practic…
ConceptPsy:A Benchmark Suite with Conceptual Comprehensiveness in Psychology
Junlei Zhang, Hongliang He, Nirui Song +8
The critical field of psychology necessitates a comprehensive benchmark to enhance the evaluation and development of domain-specific Large Language Models (LLMs). Existing MMLU-typ…
Facilitating NSFW Text Detection in Open-Domain Dialogue Systems via Knowledge Distillation
Huachuan Qiu, Shuai Zhang, Hongliang He +2
NSFW (Not Safe for Work) content, in the context of a dialogue, can have severe side effects on users in open-domain dialogue systems. However, research on detecting NSFW language,…
Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Huachuan Qiu, Shuai Zhang, Anqi Li +2
Considerable research efforts have been devoted to ensuring that large language models (LLMs) align with human values and generate safe text. However, an excessive focus on sensiti…
A Benchmark for Understanding Dialogue Safety in Mental Health Support
Huachuan Qiu, Tong Zhao, Anqi Li +3
Dialogue safety remains a pervasive challenge in open-domain human-machine interaction. Existing approaches propose distinctive dialogue safety taxonomies and datasets for detectin…
SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
Liang Xu, Anqi Li, Lei Zhu +7
Large language models (LLMs) have shown the potential to be integrated into human daily lives. Therefore, user preference is the most critical criterion for assessing LLMs' perform…
Understanding Client Reactions in Online Mental Health Counseling
Anqi Li, Lizhi Ma, Yaling Mei +4
Communication success relies heavily on reading participants' reactions. Such feedback is especially important for mental health counselors, who must carefully consider the client'…
SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support
Huachuan Qiu, Hongliang He, Shuai Zhang +2
Developing specialized dialogue systems for mental health support requires multi-turn conversation data, which has recently garnered increasing attention. However, gathering and re…