Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yuqing, Zhao, Yun, Keller, Sara Alessandra, de Hond, Anne, van Buchem, Marieke M., Pillai, Malvika, Hernandez-Boussard, Tina |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
by: Wang, Yuqing, et al.
Published: (2024)
by: Wang, Yuqing, et al.
Published: (2024)
Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)
by: Wang, Yuqing, et al.
Published: (2023)
TRAM: Benchmarking Temporal Reasoning for Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)
by: Wang, Yuqing, et al.
Published: (2023)
RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models
by: Wang, Yuqing, et al.
Published: (2024)
by: Wang, Yuqing, et al.
Published: (2024)
Metacognitive Prompting Improves Understanding in Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)
by: Wang, Yuqing, et al.
Published: (2023)
Mitigating the Bias of Large Language Model Evaluation
by: Zhou, Hongli, et al.
Published: (2024)
by: Zhou, Hongli, et al.
Published: (2024)
Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media
by: Zhai, Wei, et al.
Published: (2024)
by: Zhai, Wei, et al.
Published: (2024)
Towards Interpretable Mental Health Analysis with Large Language Models
by: Yang, Kailai, et al.
Published: (2023)
by: Yang, Kailai, et al.
Published: (2023)
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
by: Yu, Yijiong, et al.
Published: (2024)
by: Yu, Yijiong, et al.
Published: (2024)
Style Transfer as Bias Mitigation: Diffusion Models for Synthetic Mental Health Text for Arabic
by: Mankarious, Saad, et al.
Published: (2026)
by: Mankarious, Saad, et al.
Published: (2026)
Evaluating and Mitigating Social Bias for Large Language Models in Open-ended Settings
by: Liu, Zhao, et al.
Published: (2024)
by: Liu, Zhao, et al.
Published: (2024)
A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection
by: Ive, Julia, et al.
Published: (2024)
by: Ive, Julia, et al.
Published: (2024)
Mitigating Label Length Bias in Large Language Models
by: Sanz-Guerrero, Mario, et al.
Published: (2025)
by: Sanz-Guerrero, Mario, et al.
Published: (2025)
Detection, Classification, and Mitigation of Gender Bias in Large Language Models
by: Cheng, Xiaoqing, et al.
Published: (2025)
by: Cheng, Xiaoqing, et al.
Published: (2025)
Do Multilingual Large Language Models Mitigate Stereotype Bias?
by: Nie, Shangrui, et al.
Published: (2024)
by: Nie, Shangrui, et al.
Published: (2024)
Locating and Mitigating Gender Bias in Large Language Models
by: Cai, Yuchen, et al.
Published: (2024)
by: Cai, Yuchen, et al.
Published: (2024)
Bias in Large Language Models: Origin, Evaluation, and Mitigation
by: Guo, Yufei, et al.
Published: (2024)
by: Guo, Yufei, et al.
Published: (2024)
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
by: Chen, Jie, et al.
Published: (2024)
by: Chen, Jie, et al.
Published: (2024)
DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis
by: Vijayaraghavan, Prashanth, et al.
Published: (2025)
by: Vijayaraghavan, Prashanth, et al.
Published: (2025)
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
by: Zhou, Hanzhang, et al.
Published: (2024)
by: Zhou, Hanzhang, et al.
Published: (2024)
Language Shapes Mental Health Evaluations in Large Language Models
by: Xu, Jiayi, et al.
Published: (2026)
by: Xu, Jiayi, et al.
Published: (2026)
Towards Resource Efficient and Interpretable Bias Mitigation in Large Language Models
by: Tong, Schrasing, et al.
Published: (2024)
by: Tong, Schrasing, et al.
Published: (2024)
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
by: Raza, Shaina, et al.
Published: (2024)
by: Raza, Shaina, et al.
Published: (2024)
Likelihood-based Mitigation of Evaluation Bias in Large Language Models
by: Oi, Masanari, et al.
Published: (2024)
by: Oi, Masanari, et al.
Published: (2024)
Multi-Persona Thinking for Bias Mitigation in Large Language Models
by: Chen, Yuxing, et al.
Published: (2026)
by: Chen, Yuxing, et al.
Published: (2026)
Training-Free Adaptation of New-Generation LLMs using Legacy Clinical Models
by: Ronaghi, Sasha, et al.
Published: (2026)
by: Ronaghi, Sasha, et al.
Published: (2026)
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
by: Yang, Kailai, et al.
Published: (2023)
by: Yang, Kailai, et al.
Published: (2023)
Unveiling the "Fairness Seesaw": Discovering and Mitigating Gender and Race Bias in Vision-Language Models
by: Lan, Jian, et al.
Published: (2025)
by: Lan, Jian, et al.
Published: (2025)
An Assessment on Comprehending Mental Health through Large Language Models
by: Arcan, Mihael, et al.
Published: (2024)
by: Arcan, Mihael, et al.
Published: (2024)
Large Language Models for Mental Health: A Multilingual Evaluation
by: Raihan, Nishat, et al.
Published: (2026)
by: Raihan, Nishat, et al.
Published: (2026)
Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case
by: Roy, Kaushik, et al.
Published: (2025)
by: Roy, Kaushik, et al.
Published: (2025)
An Ubuntu-Guided Large Language Model Framework for Cognitive Behavioral Mental Health Dialogue
by: Forane, Sontaga G., et al.
Published: (2026)
by: Forane, Sontaga G., et al.
Published: (2026)
Mitigating Hallucinations Using Ensemble of Knowledge Graph and Vector Store in Large Language Models to Enhance Mental Health Support
by: Muqtadir, Abdul, et al.
Published: (2024)
by: Muqtadir, Abdul, et al.
Published: (2024)
Mitigating Gender Bias in Code Large Language Models via Model Editing
by: Qin, Zhanyue, et al.
Published: (2024)
by: Qin, Zhanyue, et al.
Published: (2024)
Large Language Model Bias Mitigation from the Perspective of Knowledge Editing
by: Chen, Ruizhe, et al.
Published: (2024)
by: Chen, Ruizhe, et al.
Published: (2024)
Simulating a Bias Mitigation Scenario in Large Language Models
by: Kiashemshaki, Kiana, et al.
Published: (2025)
by: Kiashemshaki, Kiana, et al.
Published: (2025)
Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification
by: Udagawa, Takuma, et al.
Published: (2025)
by: Udagawa, Takuma, et al.
Published: (2025)
Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health
by: Kumar, Vivek, et al.
Published: (2024)
by: Kumar, Vivek, et al.
Published: (2024)
Mitigating the Risk of Health Inequity Exacerbated by Large Language Models
by: Ji, Yuelyu, et al.
Published: (2024)
by: Ji, Yuelyu, et al.
Published: (2024)
Similar Items
-
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
by: Wang, Yuqing, et al.
Published: (2024) -
Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models
by: Wang, Yuqing, et al.
Published: (2023) -
TRAM: Benchmarking Temporal Reasoning for Large Language Models
by: Wang, Yuqing, et al.
Published: (2023) -
RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models
by: Wang, Yuqing, et al.
Published: (2024) -
Metacognitive Prompting Improves Understanding in Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)