5 papers
MATCHA: A Chinese Multi-Disorder Mental Health Dataset with Cross-Lingual Analyses on Social Media
Bingrui Jin, Baihan Li, Zitong Li +4
Mental health research on social media has been dominated by English-language datasets and DSM-5-centered resources, limiting cross-lingual and cross-cultural understanding of onli…
Synthetic or Authentic? Building Mental Patient Simulators from Longitudinal Evidence
Baihan Li, Bingrui Jin, Kunyao Lan +2
Patient simulation is essential for developing and evaluating mental health dialogue systems. As most existing approaches rely on snapshot-style prompts with limited profile inform…
DiveSound: LLM-Assisted Automatic Taxonomy Construction for Diverse Audio Generation
Baihan Li, Zeyu Xie, Xuenan Xu +5
Audio generation has attracted significant attention. Despite remarkable enhancement in audio quality, existing models overlook diversity evaluation. This is partially due to the l…
FakeSound: Deepfake General Audio Detection
Zeyu Xie, Baihan Li, Xuenan Xu +3
With the advancement of audio generation, generative models can produce highly realistic audios. However, the proliferation of deepfake general audio can pose negative consequences…
Enhancing Audio Generation Diversity with Visual Information
Zeyu Xie, Baihan Li, Xuenan Xu +2
Audio and sound generation has garnered significant attention in recent years, with a primary focus on improving the quality of generated audios. However, there has been limited re…