Publications (6)
CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling
Bichen Wang, Yixin Sun, Junzhe Wang +6
The mismatch between the growing demand for psychological counseling and the limited availability of services has motivated research into the application of Large Language Models (…
RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models
Bichen Wang, Yuzhe Zi, Yixin Sun +2
With the passage of the Right to Be Forgotten (RTBF) regulations and the scaling up of language model training datasets, research on model unlearning in large language models (LLMs…
Text-Driven Emotionally Continuous Talking Face Generation
Hao Yang, Yanyan Zhao, Tian Zheng +7
Talking Face Generation (TFG) strives to create realistic and emotionally expressive digital faces. While previous TFG works have mastered the creation of naturalistic facial movem…
InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring
Hao Yang, Yanyan Zhao, Kewei Zhao +11
The paper presents InCarEmo, a multimodal dataset that combines RGB and infrared video, audio, and dialogue text for in-cabin emotion recognition, fatigue detection, and distractio…
Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations
Junzhe Wang, Bichen Wang, Xing Fu +3
In recent years, Large Language Models (LLMs) have made significant progress in automated psychological counseling. However, current research focuses on single-session counseling,…
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
Bohan Li, Jiannan Guan, Longxu Dou +12
The Myers-Briggs Type Indicator (MBTI) is one of the most influential personality theories reflecting individual differences in thinking, feeling, and behaving. MBTI personality de…