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Fairness

1139 directly classified papers

Papers per year

Papers

The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention EMNLP 2024
“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models EMNLP 2024
Sandalphon@DravidianLangTech-EACL2024: Hate and Offensive Language Detection in Telugu Code-mixed Text using Transliteration-Augmentation EACL 2024
Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias EMNLP 2024
Humans or LLMs as the Judge? A Study on Judgement Bias EMNLP 2024
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning EMNLP 2024
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations EMNLP 2024
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation CVPR 2024
Aligning Large Language Models with Diverse Political Viewpoints EMNLP 2024
ChatGPT Doesn’t Trust Chargers Fans: Guardrail Sensitivity in Context EMNLP 2024
MiTTenS: A Dataset for Evaluating Gender Mistranslation EMNLP 2024
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments EMNLP 2024
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models EMNLP 2024
Studying and Mitigating Biases in Sign Language Understanding Models EMNLP 2024
Systematic Biases in LLM Simulations of Debates EMNLP 2024
“Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models EMNLP 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift NIPS 2024
Hateful Word in Context Classification EMNLP 2024
Using Discourse Connectives to Test Genre Bias in Masked Language Models EACL 2024
Preserving Fairness Generalization in Deepfake Detection CVPR 2024
Did the Names I Used within My Essay Affect My Score? Diagnosing Name Biases in Automated Essay Scoring EACL 2024
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024
Lexical Complexity Prediction and Lexical Simplification for Catalan and Spanish: Resource Creation, Quality Assessment, and Ethical Considerations EMNLP 2024
Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech NAACL 2024
“One-Size-Fits-All”? Examining Expectations around What Constitute “Fair” or “Good” NLG System Behaviors NAACL 2024