research
∙
09/15/2023
Casteist but Not Racist? Quantifying Disparities in Large Language Model Bias between India and the West
Large Language Models (LLMs), now used daily by millions of users, can e...
share
research
∙
08/02/2023
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Without proper safeguards, large language models will readily follow mal...
research
∙
07/31/2023
DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures
Public figures receive a disproportionate amount of abuse on social medi...
research
∙
06/21/2023
VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution
We introduce VisoGender, a novel dataset for benchmarking gender bias in...
research
∙
05/24/2023
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets
Vision-language models are growing in popularity and public visibility t...
research
∙
05/22/2023
Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models
The generative AI revolution in recent years has been spurred by an expa...
research
∙
03/09/2023
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
Large language models (LLMs) are used to generate content for a wide ran...
research
∙
03/07/2023
SemEval-2023 Task 10: Explainable Detection of Online Sexism
Online sexism is a widespread and harmful phenomenon. Automated tools ca...
research
∙
02/16/2023
Auditing large language models: a three-layered approach
The emergence of large language models (LLMs) represents a major advance...
research
∙
09/21/2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning
Annotating abusive language is expensive, logistically complex and creat...
research
∙
05/23/2022
Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements
The growing capability and availability of generative language models ha...
research
∙
04/29/2022
Handling and Presenting Harmful Text
Textual data can pose a risk of serious harm. These harms can be categor...
research
∙
03/22/2022
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning
Vision-language models can encode societal biases and stereotypes, but t...
research
∙
08/12/2021
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate
Detecting online hate is a complex task, and low-performing models have ...
research
∙
07/09/2021
