7 citations · 41 across the 16 of their papers we have counts for
13 papers · 1 filter
PatientAct: Theory-Grounded Mental Health Client Simulation
Sahand Sabour, TszYam NG, Yaqian Chen +3
LLM-based simulated clients are increasingly used to train novice counselors, evaluate LLM therapists, and generate synthetic data. However, current simulators produce overly coope…
PatientHub: A Unified Framework for Patient Simulation
Sahand Sabour, TszYam NG, Minlie Huang
As Large Language Models increasingly power role-playing applications, simulating patients has become a valuable tool for training counselors and scaling therapeutic assessment. Ho…
Enhanced Large Language Models for Effective Screening of Depression and Anxiety
June M. Liu, Mengxia Gao, Sahand Sabour +3
Depressive and anxiety disorders are widespread, necessitating timely identification and management. Recent advances in Large Language Models (LLMs) offer potential solutions, yet…
EmoBench: Evaluating the Emotional Intelligence of Large Language Models
Sahand Sabour, Siyang Liu, Zheyuan Zhang +7
Recent advances in Large Language Models (LLMs) have highlighted the need for robust, comprehensive, and challenging benchmarks. Yet, research on evaluating their Emotional Intelli…
CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models
Jinfeng Zhou, Zhuang Chen, Dazhen Wan +14
In this paper, we present CharacterGLM, a series of models built upon ChatGLM, with model sizes ranging from 6B to 66B parameters. Our CharacterGLM is designed for generating Chara…
Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond
Siyang Liu, Naihao Deng, Sahand Sabour +3
We propose task-adaptive tokenization as a way to adapt the generation pipeline to the specifics of a downstream task and enhance long-form generation in mental health. Inspired by…
COKE: A Cognitive Knowledge Graph for Machine Theory of Mind
Jincenzi Wu, Zhuang Chen, Jiawen Deng +3
Theory of mind (ToM) refers to humans' ability to understand and infer the desires, beliefs, and intentions of others. The acquisition of ToM plays a key role in humans' social cog…
PAL: Persona-Augmented Emotional Support Conversation Generation
Jiale Cheng, Sahand Sabour, Hao Sun +2
Due to the lack of human resources for mental health support, there is an increasing demand for employing conversational agents for support. Recent work has demonstrated the effect…
Chatbots for Mental Health Support: Exploring the Impact of Emohaa on Reducing Mental Distress in China
Sahand Sabour, Wen Zhang, Xiyao Xiao +5
The growing demand for mental health support has highlighted the importance of conversational agents as human supporters worldwide and in China. These agents could increase availab…
Rethinking and Refining the Distinct Metric
Siyang Liu, Sahand Sabour, Yinhe Zheng +3
Distinct- score\cite{Li2016} is a widely used automatic metric for evaluating diversity in language generation tasks. However, we observed that the original approach for calcula…
AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation
Chujie Zheng, Sahand Sabour, Jiaxin Wen +2
Crowdsourced dialogue corpora are usually limited in scale and topic coverage due to the expensive cost of data curation. This would hinder the generalization of downstream dialogu…
CEM: Commonsense-aware Empathetic Response Generation
Sahand Sabour, Chujie Zheng, Minlie Huang
A key trait of daily conversations between individuals is the ability to express empathy towards others, and exploring ways to implement empathy is a crucial step towards human-lik…
Towards Emotional Support Dialog Systems
Siyang Liu, Chujie Zheng, Orianna Demasi +5
Emotional support is a crucial ability for many conversation scenarios, including social interactions, mental health support, and customer service chats. Following reasonable proce…