Fairness
1,279 papers
Papers per year
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Papers
The Statistical Scope of Multicalibration
ICML 2023
This prompt is measuring <mask>: evaluating bias evaluation in language models
ACL 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
ICLR 2023
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling
AISTATS 2023
Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators
EMNLP 2023
Toxicity in Multilingual Machine Translation at Scale
EMNLP 2023
Trade-Offs Between Fairness and Privacy in Language Modeling
ACL 2023
UIRISC at SemEval-2023 Task 10: Explainable Detection of Online Sexism by Ensembling Fine-tuning Language Models
SemEval 2023
Uncovering and Categorizing Social Biases in Text-to-SQL
ACL 2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
CVPR 2023
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization
ICLR 2023
Unlearning Bias in Language Models by Partitioning Gradients
ACL 2023
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance
EMNLP 2023
Using In-Context Learning to Improve Dialogue Safety
EMNLP 2023
VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution
NeurIPS 2023
What social attitudes about gender does BERT encode? Leveraging insights from psycholinguistics
ACL 2023
When and Why Does Bias Mitigation Work?
EMNLP 2023
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset
ACL 2023
Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree
ACL 2023
Whose Opinions Do Language Models Reflect?
ICML 2023
WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models
ACL 2023
With Prejudice to None: A Few-Shot, Multilingual Transfer Learning Approach to Detect Social Bias in Low Resource Languages
ACL 2023
Women Wearing Lipstick: Measuring the Bias Between an Object and Its Related Gender
EMNLP 2023
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
ICML 2022
Adversarial Reweighting for Speaker Verification Fairness
Interspeech 2022