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Fairness

3337 directly classified papers

Papers per year

Papers

Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation ACL 2025
Mitigating Shortcut Learning with InterpoLated Learning ACL 2025
Towards Massive Multilingual Holistic Bias ACL 2025
Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment EMNLP 2025
Mitigating Gender Bias in Job Ranking Systems Using Job Advertisement Neutrality ACL 2025
Veracity Bias and Beyond: Uncovering LLMs’ Hidden Beliefs in Problem-Solving Reasoning ACL 2025
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty JMLR 2025
GENDER1PERSON: Test Suite for Estimating Gender Bias of First-person Singular Forms EMNLP 2025
Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone AAAI 2025
Understanding Annotator Perception: Modeling Psychological Inference from First- and Third-Person Annotations (Student Abstract) AAAI 2025
Political Bias Prediction Models Focus on Source Cues, Not Semantics AAAI 2025
Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing CVPR 2025
T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation CVPR 2025
ChronoBias: A Benchmark for Evaluating Time-conditional Group Bias in the Time-sensitive Knowledge of Large Language Models EMNLP 2025
REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting EMNLP 2025
AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization EMNLP 2025
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification WACV 2025
Structured Human Assessment of Text-to-Image Generative Models WACV 2025
Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data CVPR 2025
Exploring and Mitigating Implicit Bias in Large Language Models: A Cross-Domain Evaluation Framework AAAI 2025
Constrained Fair and Efficient Allocations AAAI 2025
Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness AAAI 2025
FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models EMNLP 2025
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation NAACL 2025