Fairness

Supervised Algorithmic Fairness in Distribution Shifts: A Survey IJCAI 2024 SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation NeurIPS 2024 Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US EMNLP 2024 Systematic Biases in LLM Simulations of Debates EMNLP 2024 T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition NeurIPS 2024 Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering WACV 2024 TagDebias: Entity and Concept Tagging for Social Bias Mitigation in Pretrained Language Models NAACL 2024 Take Its Essence, Discard Its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect COLING 2024 Taming Normalizing Flows WACV 2024 Targeted Activation Penalties Help CNNs Ignore Spurious Signals AAAI 2024 Temporal Fairness in Multiwinner Voting AAAI 2024 The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models EMNLP 2024 The Annotators Agree to Not Agree on the Fine-grained Annotation of Hate-speech against Women in Algerian Dialect Comments COLING 2024 The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese EACL 2024 The Bias Amplification Paradox in Text-to-Image Generation NAACL 2024 The Crime of Being Poor: Associations between Crime and Poverty on Social Media in Eight Countries NAACL 2024 The CyberEquity Lab at FIGNEWS 2024 Shared Task: Annotating a Corpus of Facebook Posts to Label Bias and Propaganda in Gaza-Israel War Coverage in Five Languages ACL 2024 The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models ICLR 2024 The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention EMNLP 2024 The Fairness Fair: Bringing Human Perception into Collective Decision-Making AAAI 2024 The Fairness-Quality Tradeoff in Clustering NeurIPS 2024 The FIGNEWS Shared Task on News Media Narratives ACL 2024 The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning NeurIPS 2024 The Generation Gap: Exploring Age Bias in the Value Systems of Large Language Models EMNLP 2024 The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations NeurIPS 2024