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Fairness

3337 directly classified papers

Papers per year

Papers

Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification AAAI 2026
An External Fairness Evaluation of LinkedIn Talent Search AAAI 2026
ALERT: Adversarial Learning Enhanced Stability-aware Routing Transformer for Adaptive Depression Detection AAAI 2026
AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social Surveys AAAI 2026
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination AAAI 2026
Culture Affordance Atlas: Reconciling Object Diversity Through Functional Mapping AAAI 2026
The Confidence Trap: Gender Bias and Predictive Certainty in LLMs AAAI 2026
Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer AAAI 2026
Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services AAAI 2026
ACID Test: A Benchmark for Cultural Safety and Alignment in LALMs AAAI 2026
Identifying Features Associated with Bias Against 93 Stigmatized Groups in Language Models and Guardrail Model Safety Mitigation AAAI 2026
Silenced Biases: The Dark Side LLMs Learned to Refuse AAAI 2026
Reducing the Scope of Language Models AAAI 2026
Fairness Perceptions of Large Language Models AAAI 2026
RSA-CR: Resisting Shilling Attacks in Citation Recommendation via Dumbbell Inductive Learning AAAI 2026
The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models AAAI 2026
GUIC: Certified Graph Unlearning with Individual Fairness Guarantees AAAI 2026
TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models AAAI 2026
From Single to Societal: Analyzing Persona-Induced Bias in Multi-Agent Interactions AAAI 2026
“Yuki Gets Sushi, David Gets Steak?”: Uncovering Gender and Racial Biases in LLM-Based Meal Recommendations EACL 2026
Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data AAAI 2026
SCoUT: A Framework for Structured Stereotype Analysis in Language Models AAAI 2026
Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge AAAI 2026
Counterfactual Fairness with Imperfect Causal Graphs AAAI 2026
A General Anchor-Based Framework for Scalable Fair Clustering AAAI 2026