← Search

BiChen Wang

7 accepted papers

2026

CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling

AAAI 2026technical

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 (LLMs) in this domain. Consequently, there is a need for a robust and unified benchmark to assess the counseling competen

Cited by 0SourcePDFScholar
2025

Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs

NAACL 2025long

As concern for privacy rights has grown and the size of language model training datasets has expanded, research into machine unlearning for large language models (LLMs) has become crucial. Before the era of LLMs, research on machine unlearning mainly focused on classification tasks in small paramete…

2025

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits

COLING 2025main

The Myers-Briggs Type Indicator (MBTI) is one of the most influential personality theories reflecting individual differences in thinking, feeling, and behaving. MBTI personality detection has garnered considerable research interest and has evolved significantly over the years. However, this task ten…

2025

End-to-End Learnable Psychiatric Scale Guided Risky Post Screening for Depression Detection on Social Media

EMNLP 2025

Detecting depression through users’ social media posting history is crucial for enabling timely intervention; however, irrelevant content within these posts negatively impacts detection performance. Thus, it is crucial to extract pertinent content from users’ complex posting history. Current methods

Cited by 0SourcePDFScholar
2025

Look Beyond Feeling: Unveiling Latent Needs from Implicit Expressions for Proactive Emotional Support

EMNLP 2025

In recent years, Large Language Models (LLMs) have made significant progress in emotional support dialogue. However, there are two major challenges for LLM-based support systems. First, users may be hesitant to fully disclose their emotions at the outset. Second, direct probing or excessive question

Cited by 0SourcePDFScholar
2024

ESDM: Early Sensing Depression Model in Social Media Streams

COLING 2024main

Depression impacts millions worldwide, with increasing efforts to use social media data for early detection and intervention. Traditional Risk Detection (TRD) uses a user’s complete posting history for predictions, while Early Risk Detection (ERD) seeks early detection in a user’s posting history, e…

2023

C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health

EMNLP 2023long findings

Cognitive distortions refer to patterns of irrational thinking that can lead to distorted perceptions of reality and mental health problems in individuals. Despite previous attempts to detect cognitive distortion through language, progress has been slow due to the lack of appropriate data. In this p…

Cited by 0SourceScholar