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Papers
VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models
ACL 2026
A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations
EMNLP 2025
Probing Gender Bias in Multilingual LLMs: A Case Study of Stereotypes in Persian
EMNLP 2025
Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis
EMNLP 2024
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution
ACL 2024
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes
ACL 2024
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
ACL 2024
Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts
ACL 2022
Demographic-Aware Language Model Fine-tuning as a Bias Mitigation Technique
AACL 2022
Re-contextualizing Fairness in NLP: The Case of India
AACL 2022
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models
NAACL 2022
Gender and Representation Bias in GPT-3 Generated Stories
NAACL 2021
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
EMNLP 2021
Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs
AACL 2020
Measuring Bias in Contextualized Word Representations
ACL 2019