42 citations · 91 across the 16 of their papers we have counts for
17 papers
Batch-Paced: Fixed-Budget Batch Decoding in Discrete Diffusion Language Models
Shuai Zhang, Zhanchao Zhou, Huachuan Qiu +2
As generative language models become more capable and widely used, inference demand grows, making efficient serving increasingly important. Discrete diffusion language models (dLLM…
Multi-dimensional Assessment and Explainable Feedback for Counselor Responses to Client Resistance in Text-based Counseling with LLMs
Anqi Li, Ruihan Wang, Zhaoming Chen +5
Effectively addressing client resistance is a sophisticated clinical skill in psychological counseling, yet practitioners often lack timely and scalable supervisory feedback to ref…
CARE: An Explainable Computational Framework for Assessing Client-Perceived Therapeutic Alliance Using Large Language Models
Anqi Li, Chenxiao Wang, Yu Lu +3
Client perceptions of the therapeutic alliance are critical for counseling effectiveness. Accurately capturing these perceptions remains challenging, as traditional post-session qu…
RECAP: Resistance Capture in Text-based Mental Health Counseling with Large Language Models
Anqi Li, Yuqian Chen, Yu Lu +3
Recognizing and navigating client resistance is critical for effective mental health counseling, yet detecting such behaviors is particularly challenging in text-based interactions…
The Expressions of Depression and Anxiety in Chinese Psycho-counseling: Usage of First-person Singular Pronoun and Negative Emotional Words
Lizhi Ma, Tong Zhao, Shuai Zhang +7
This study explores the relationship between linguistic expressions and psychological states of depression and anxiety within Chinese psycho-counseling interactions, focusing speci…
Predicting the Big Five Personality Traits in Chinese Counselling Dialogues Using Large Language Models
Yang Yan, Lizhi Ma, Anqi Li +2
Accurate assessment of personality traits is crucial for effective psycho-counseling, yet traditional methods like self-report questionnaires are time-consuming and biased. This st…
Facilitating Pornographic Text Detection for Open-Domain Dialogue Systems via Knowledge Distillation of Large Language Models
Huachuan Qiu, Shuai Zhang, Hongliang He +2
Pornographic content occurring in human-machine interaction dialogues can cause severe side effects for users in open-domain dialogue systems. However, research on detecting pornog…
Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs
Anqi Li, Yu Lu, Nirui Song +3
Robust therapeutic relationships between counselors and clients are fundamental to counseling effectiveness. The assessment of therapeutic alliance is well-established in tradition…
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…
Towards Automated Real-time Evaluation in Text-based Counseling
Anqi Li, Jingsong Ma, Lizhi Ma +3
Automated real-time evaluation of counselor-client interaction is important for ensuring quality counseling but the rules are difficult to articulate. Recent advancements in machin…