9 citations · 12 across the 14 of their papers we have counts for
7 papers · 1 filter
Same Content, Different Answers: Cross-Modal Inconsistency in MLLMs
Angela van Sprang, Laurens Samson, Ana Lucic +3
We introduce two new benchmarks REST and REST+ (Render-Equivalence Stress Tests) to enable systematic evaluation of cross-modal inconsistency in multimodal large language models (M…
Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias through a Systematic Review
Sara Altamirano, Arjan Vreeken, Sennay Ghebreab
Machine learning (ML) promises to revolutionize public health through improved surveillance, risk stratification, and resource allocation. However, without systematic attention to…
How large language models judge and influence human cooperation
Alexandre S. Pires, Laurens Samson, Sennay Ghebreab +1
Humans increasingly rely on large language models (LLMs) to support decisions in social settings. Previous work suggests that such tools shape people's moral and political judgemen…
EMERGENT: Efficient and Manipulation-resistant Matching using GFlowNets
Mayesha Tasnim, Erman Acar, Sennay Ghebreab
The design of fair and efficient algorithms for allocating public resources, such as school admissions, housing, or medical residency, has a profound social impact. In one-sided ma…
Artifacts of Idiosyncracy in Global Street View Data
Tim Alpherts, Sennay Ghebreab, Nanne van Noord
Street view data is increasingly being used in computer vision applications in recent years. Machine learning datasets are collected for these applications using simple sampling te…
The Cloud Weaving Model for AI development
Darcy Kim, Aida Kalender, Sennay Ghebreab +1
While analysing challenges in pilot projects developing AI with marginalized communities, we found it difficult to express them within commonly used paradigms. We therefore constru…
EMPLACE: Self-Supervised Urban Scene Change Detection
Tim Alpherts, Sennay Ghebreab, Nanne van Noord
Urban change is a constant process that influences the perception of neighbourhoods and the lives of the people within them. The field of Urban Scene Change Detection (USCD) aims t…