[TrustNLP@NAACL 2025] BiasEdit: Debiasing Stereotyped Language Models via Model Editing
Tools and resources of the paper "Do Neural Ranking Models Intensify Gender Bias?"
Scientific Data Significance Rankings with Shapley Explanations
Some scripts for evaluating stereotypes in LMs
This project aims to investigate different models for solving the stereotype detection task.
Investigating how culturally sensitive terms are used in Linked Open Data
This study investigates social biases in text-to-image models by examining biases in AI-generated images across demographic, occupational, and cultural prompts. Testing diverse inputs and collecting feedback, we aim to identify and analyze biases to propose strategies for fairer, more inclusive AI-generated visuals.
This repository contains the code of the team StereoBusters for the Evalita 2026 task GSI-detect: Detecting Gender Stereotypes in Italian
CalgaryHacks 2021 :: Rogue-like adventure game heavily based on widespread Canadian stereotypes.
Pipeline LLM para adaptar o benchmark MGS (52k frases) ao contexto jurídico-cultural brasileiro: tradução PT-BR, novas categorias (regiao, orientacao_sexual) e classificação legal (Lei 7.716/1989, STF ADO 26/2019)
This web application is inspired by "Guess Who" game. The goal of the game is to study stereotypes.
How film and TV cast, write about and label women and social groups: IMDb, TMDb and 3M plot summaries, 1920–2026
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