Saved in:
| Main Authors: | Han, Jinhui, Hu, Ming, Zhang, Xilin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.26960 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating Implicit Biases in LLM Reasoning through Logic Grid Puzzles
by: Jahara, Fatima, et al.
Published: (2025)
by: Jahara, Fatima, et al.
Published: (2025)
Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review
by: Li, Ming, et al.
Published: (2023)
by: Li, Ming, et al.
Published: (2023)
A Detailed Study on LLM Biases Concerning Corporate Social Responsibility and Green Supply Chains
by: Ontrup, Greta, et al.
Published: (2025)
by: Ontrup, Greta, et al.
Published: (2025)
Decoding Multilingual Moral Preferences: Unveiling LLM's Biases Through the Moral Machine Experiment
by: Vida, Karina, et al.
Published: (2024)
by: Vida, Karina, et al.
Published: (2024)
A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)
by: Zhang, Xulang, et al.
Published: (2025)
Gender and Positional Biases in LLM-Based Hiring Decisions: Evidence from Comparative CV/Résumé Evaluations
by: Rozado, David
Published: (2025)
by: Rozado, David
Published: (2025)
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections
by: von der Heyde, Leah, et al.
Published: (2024)
by: von der Heyde, Leah, et al.
Published: (2024)
FishBargain: An LLM-Empowered Bargaining Agent for Online Fleamarket Platform Sellers
by: Kong, Dexin, et al.
Published: (2025)
by: Kong, Dexin, et al.
Published: (2025)
No Free Lunch in Language Model Bias Mitigation? Targeted Bias Reduction Can Exacerbate Unmitigated LLM Biases
by: Chand, Shireen, et al.
Published: (2025)
by: Chand, Shireen, et al.
Published: (2025)
Sociodemographic Biases in Educational Counselling by Large Language Models
by: Adamczyk, Tomasz, et al.
Published: (2026)
by: Adamczyk, Tomasz, et al.
Published: (2026)
MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
by: Ghosh, Rajarshi, et al.
Published: (2025)
by: Ghosh, Rajarshi, et al.
Published: (2025)
Beyond Accuracy: Evaluating Strategy Diversity in LLM Mathematical Reasoning
by: Yang, Xia, et al.
Published: (2026)
by: Yang, Xia, et al.
Published: (2026)
Investigating Associational Biases in Inter-Model Communication of Large Generative Models
by: Dogan, Fethiye Irmak, et al.
Published: (2026)
by: Dogan, Fethiye Irmak, et al.
Published: (2026)
The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese
by: Kulkarni, Ajinkya, et al.
Published: (2024)
by: Kulkarni, Ajinkya, et al.
Published: (2024)
PRISM: A Methodology for Auditing Biases in Large Language Models
by: Azzopardi, Leif, et al.
Published: (2024)
by: Azzopardi, Leif, et al.
Published: (2024)
Defining bias in AI-systems: Biased models are fair models
by: Lindloff, Chiara, et al.
Published: (2025)
by: Lindloff, Chiara, et al.
Published: (2025)
Revolutionizing Pharma: Unveiling the AI and LLM Trends in the Pharmaceutical Industry
by: Han, Yu, et al.
Published: (2024)
by: Han, Yu, et al.
Published: (2024)
Assessing Cognitive Biases in LLMs for Judicial Decision Support: Virtuous Victim and Halo Effects
by: Liu, Sierra S.
Published: (2026)
by: Liu, Sierra S.
Published: (2026)
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models
by: Feng, Duanyu, et al.
Published: (2023)
by: Feng, Duanyu, et al.
Published: (2023)
Dual Attention Guided Defense Against Malicious Edits
by: Zhang, Jie, et al.
Published: (2025)
by: Zhang, Jie, et al.
Published: (2025)
Towards Transferable Defense Against Malicious Image Edits
by: Zhang, Jie, et al.
Published: (2025)
by: Zhang, Jie, et al.
Published: (2025)
Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)
by: Manvi, Rohin, et al.
Published: (2024)
Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rules
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
Large Language Models Develop Novel Social Biases Through Adaptive Exploration
by: Wu, Addison J., et al.
Published: (2025)
by: Wu, Addison J., et al.
Published: (2025)
"Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
by: Karr Jr., Jonathan A., et al.
Published: (2025)
by: Karr Jr., Jonathan A., et al.
Published: (2025)
AI Biases as Asymmetries: A Review to Guide Practice
by: Waters, Gabriella, et al.
Published: (2025)
by: Waters, Gabriella, et al.
Published: (2025)
Biased AI improves human decision-making but reduces trust
by: Lai, Shiyang, et al.
Published: (2025)
by: Lai, Shiyang, et al.
Published: (2025)
Self-Blinding and Counterfactual Self-Simulation Mitigate Biases and Sycophancy in Large Language Models
by: Christian, Brian, et al.
Published: (2026)
by: Christian, Brian, et al.
Published: (2026)
Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMs
by: de Landa, Joseba Fernandez, et al.
Published: (2026)
by: de Landa, Joseba Fernandez, et al.
Published: (2026)
Artificial Authority: From Machine Minds to Political Alignments. An Experimental Analysis of Democratic and Autocratic Biases in Large-Language Models
by: Ożegalska-Łukasik, Natalia, et al.
Published: (2025)
by: Ożegalska-Łukasik, Natalia, et al.
Published: (2025)
Identifying Implicit Social Biases in Vision-Language Models
by: Hamidieh, Kimia, et al.
Published: (2024)
by: Hamidieh, Kimia, et al.
Published: (2024)
Inducing Human-like Biases in Moral Reasoning Language Models
by: Karpov, Artem, et al.
Published: (2024)
by: Karpov, Artem, et al.
Published: (2024)
"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas
by: Ding, Junchen, et al.
Published: (2025)
by: Ding, Junchen, et al.
Published: (2025)
Semantic Mismatch and Perceptual Degradation: A New Perspective on Image Editing Immunity
by: Dong, Shuai, et al.
Published: (2025)
by: Dong, Shuai, et al.
Published: (2025)
TRAPDOC: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents
by: Jin, Hyundong, et al.
Published: (2025)
by: Jin, Hyundong, et al.
Published: (2025)
Reward Models Inherit Value Biases from Pretraining
by: Christian, Brian, et al.
Published: (2026)
by: Christian, Brian, et al.
Published: (2026)
Whose Journey Matters? Investigating Identity Biases in Large Language Models (LLMs) for Travel Planning Assistance
by: Ren, Ruiping, et al.
Published: (2024)
by: Ren, Ruiping, et al.
Published: (2024)
White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs
by: Wan, Yixin, et al.
Published: (2024)
by: Wan, Yixin, et al.
Published: (2024)
Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
by: Shieh, Evan, et al.
Published: (2024)
by: Shieh, Evan, et al.
Published: (2024)
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
by: Chu, Yun-Wei, et al.
Published: (2022)
by: Chu, Yun-Wei, et al.
Published: (2022)
Similar Items
-
Evaluating Implicit Biases in LLM Reasoning through Logic Grid Puzzles
by: Jahara, Fatima, et al.
Published: (2025) -
Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review
by: Li, Ming, et al.
Published: (2023) -
A Detailed Study on LLM Biases Concerning Corporate Social Responsibility and Green Supply Chains
by: Ontrup, Greta, et al.
Published: (2025) -
Decoding Multilingual Moral Preferences: Unveiling LLM's Biases Through the Moral Machine Experiment
by: Vida, Karina, et al.
Published: (2024) -
A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)