Bichen Wang
Orcid: 0009-0001-5166-7169
According to our database1,
Bichen Wang authored at least 17 papers
between 2023 and 2026.
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Bibliography
2026
IEEE Signal Process. Lett., 2026
CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations.
CoRR, June, 2025
Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Beyond Snapshots: A Multimodal User-Level Dataset for Depression Detection in Dynamic Social Media Streams.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Copo: Joint Cost and Performance Optimization for Task Placement in Geo-Distributed Clouds.
Proceedings of the 33rd IEEE International Conference on Network Protocols, 2025
End-to-End Learnable Psychiatric Scale Guided Risky Post Screening for Depression Detection on Social Media.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Look Beyond Feeling: Unveiling Latent Needs from Implicit Expressions for Proactive Emotional Support.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
HIT-SCIR@eRisk2025: Exploring the Potential of a Learnable Screening Model and Risk Post Buffer-Based Framework for Contextualized Early Prediction of Depression on Social Media.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025
2024
Signal Process., January, 2024
RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models.
CoRR, 2024
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Scale-CoT: Integrating LLM with Psychiatric Scales for Analyzing Mental Health Issues on Social Media.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023