conftrace_

bias mitigation

500 papers

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Co-occurring keywords

large language model (13587) gender bia (435) language model (4599) social bia (210) text classification (6793) algorithmic fairness (284) causal inference (1630) spurious correlation (279) bias detection (419) representation learning (6206)

Papers

The Mainstays of Trustworthy Machine Learning AAAI 2025
WEFE: A Python Library for Measuring and Mitigating Bias in Word Embeddings JMLR 2025
Debiasify: Self-Distillation for Unsupervised Bias Mitigation WACV 2025
FALCON: Fair Face Recognition via Local Optimal Feature Normalization WACV 2025
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment AAAI 2025
Investigating and Mitigating Undesirable Biases in Large Language Models AAAI 2025
Bias Vector: Mitigating Biases in Language Models with Task Arithmetic Approach COLING 2025
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework AAAI 2025
Debiasing by obfuscating with 007-classifiers promotes fairness in multi-community settings COLING 2025
Multi-Group Proportional Representations for Text-to-Image Models CVPR 2025
Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation EMNLP 2025
fairGNN-WOD: Fair Graph Learning Without Complete Demographics IJCAI 2025
SafetyPrompts: A Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety AAAI 2025
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data CVPR 2025
Observing Micromotives and Macrobehavior of Large Language Models IJCNLP 2025
Quantifying Cognitive Bias Induction in LLM-Generated Content IJCNLP 2025
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance EMNLP 2025
Mitigating Bias in Item Retrieval for Enhancing Exam Assembly in Vocational Education Services NAACL 2025
Beyond Excess and Deficiency: Adaptive Length Bias Mitigation in Reward Models for RLHF NAACL 2025
Mitigating Selection Bias with Node Pruning and Auxiliary Options ACL 2025
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting AAAI 2025
Advancing Oversight Reasoning across Languages for Audit Sycophantic Behaviour via X-Agent EMNLP 2025
Bias Mitigation or Cultural Commonsense? Evaluating LLMs with a Japanese Dataset EMNLP 2025
Reading Between the Prompts: How Stereotypes Shape LLM’s Implicit Personalization EMNLP 2025
Debiasing Online Preference Learning via Preference Feature Preservation ACL 2025