Fairness

Pruning the Paradox: How CLIP’s Most Informative Heads Enhance Performance While Amplifying Bias EMNLP 2025 PsyScam: A Benchmark for Psychological Techniques in Real-World Scams EMNLP 2025 Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach IJCNLP 2025 Quantifying Cognitive Bias Induction in LLM-Generated Content IJCNLP 2025 Quantifying Language Disparities in Multilingual Large Language Models EMNLP 2025 Quantifying Misattribution Unfairness in Authorship Attribution ACL 2025 Quantifying the Influence of Irrelevant Contexts on Political Opinions Produced by LLMs ACL 2025 RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting AAAI 2025 Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications IJCAI 2025 Red-Teaming for Uncovering Societal Bias in Large Language Models ACL 2025 Reducing Leximin Fairness to Utilitarian Optimization AAAI 2025 Re-Evaluating Group Robustness via Adaptive Class-Specific Scaling WACV 2025 REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting EMNLP 2025 Rejected Dialects: Biases Against African American Language in Reward Models NAACL 2025 Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems ICLR 2025 Reliability Crisis of Reference-free Metrics for Grammatical Error Correction EMNLP 2025 Removing Prompt-template Bias in Reinforcement Learning from Human Feedback ACL 2025 Research Borderlands: Analysing Writing Across Research Cultures ACL 2025 Rethinking Fair Representation Learning for Performance-Sensitive Tasks ICLR 2025 Rethinking Prompt-based Debiasing in Large Language Model ACL 2025 Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion CVPR 2025 Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs) ICLR 2025 Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination AAAI 2025 Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction CVPR 2025 Reward Model Perspectives: Whose Opinions Do Reward Models Reward? EMNLP 2025