activity
20222026
most citedFairness and Bias in Multimodal AI: A Survey

3 citations · 11 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 1 cited

ProCoT: Stimulating Critical Thinking and Writing of Students through Engagement with Large Language Models (LLMs)

Tosin Adewumi, Lama Alkhaled, Claudia Buck +5

We introduce a novel writing method called Probing Chain-of-Thought (ProCoT), which potentially prevents students from cheating using a Large Language Model (LLM), such as ChatGPT,…

cs.CL2023

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages

Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal +55

Despite the recent progress on scaling multilingual machine translation (MT) to several under-resourced African languages, accurately measuring this progress remains challenging, s…

cs.CV2023

Robust and Fast Vehicle Detection using Augmented Confidence Map

Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled +4

Vehicle detection in real-time scenarios is challenging because of the time constraints and the presence of multiple types of vehicles with different speeds, shapes, structures, et…

cs.CL2023★ 1 cited

Bipol: A Novel Multi-Axes Bias Evaluation Metric with Explainability for NLP

Lama Alkhaled, Tosin Adewumi, Sana Sabah Sabry

We introduce bipol, a new metric with explainability, for estimating social bias in text data. Harmful bias is prevalent in many online sources of data that are used for training m…

cs.CL2023

Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets

Tosin Adewumi, Isabella Södergren, Lama Alkhaled +3

We investigate five English NLP benchmark datasets (on the superGLUE leaderboard) and two Swedish datasets for bias, along multiple axes. The datasets are the following: Boolean Qu…