Co-occurring keywords · papers mentioning both
Papers
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models
ACL 2026
On the Interplay between Human Label Variation and Model Fairness
EACL 2026
Attention IoU: Examining Biases in CelebA using Attention Maps
CVPR 2025
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads
NAACL 2025
Bridging the LLM Accessibility Divide? Performance, Fairness, and Cost of Closed versus Open LLMs for Automated Essay Scoring
ACL 2025
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
ACL 2025
Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers
ICCV 2025
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
ACL 2025
FAIR-TAT: Improving Model Fairness using Targeted Adversarial Training
WACV 2025
Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models
NAACL 2025
Social Debiasing for Fair Multi-modal LLMs
ICCV 2025
Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation
EMNLP 2025
Achievable Fairness on Your Data With Utility Guarantees
NeurIPS 2024
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models
NAACL 2024
A Survey on Natural Language Counterfactual Generation
EMNLP 2024
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
EMNLP 2024
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
CVPR 2024
Giving Control Back to Models: Enabling Offensive Language Detection Models to Autonomously Identify and Mitigate Biases
EMNLP 2024
Group Fairness in Multilingual Speech Recognition Models
NAACL 2024
Improving Subgroup Robustness via Data Selection
NeurIPS 2024
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
ACL 2024
On the Relationship between Truth and Political Bias in Language Models
EMNLP 2024
Prediction without Preclusion: Recourse Verification with Reachable Sets
ICLR 2024
Pre-Trained Language Models Represent Some Geographic Populations Better than Others
COLING 2024
Studying and Mitigating Biases in Sign Language Understanding Models
EMNLP 2024