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Papers
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study
EMNLP 2024
Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models
EMNLP 2024
Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation
ACL 2024
WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case
EMNLP 2024
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
EMNLP 2024
A Multi-dimensional study on Bias in Vision-Language models
ACL 2023
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models
ACL 2023
Are fairness metric scores enough to assess discrimination biases in machine learning?
ACL 2023
Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children’s Fairy Tales
ACL 2023
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation
EMNLP 2023
Artificial Intelligence, Bias, and Ethics
IJCAI 2023
A Survey on Zero Pronoun Translation
ACL 2023
A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation
EMNLP 2023
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages
ACL 2023
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models
ACL 2023
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples
EACL 2023
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns
EACL 2023
Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales
EMNLP 2023
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
ICCV 2023
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness
AAAI 2023
DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias
EMNLP 2023
Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment?
ACL 2023
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
EMNLP 2023
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model
ACL 2023
“Fifty Shades of Bias”: Normative Ratings of Gender Bias in GPT Generated English Text
EMNLP 2023