3 citations · 4 across the 4 of their papers we have counts for
4 papers
Harm is not Universal: Community-Specific Toxicity Detection is Urgently Needed
Xinnuo Xu, Anja Thieme, Daniela Massiceti +6
State-of-the-art toxicity detectors for text-to-image generation adopt a one-size-fits-all approach: a single universal model applying fixed safety guidelines to all users. Our emp…
Understanding Information Storage and Transfer in Multi-modal Large Language Models
Samyadeep Basu, Martin Grayson, Cecily Morrison +3
Understanding the mechanisms of information storage and transfer in Transformer-based models is important for driving model understanding progress. Recent work has studied these me…
Explaining CLIP's performance disparities on data from blind/low vision users
Daniela Massiceti, Camilla Longden, Agnieszka Słowik +3
Large multi-modal models (LMMs) hold the potential to usher in a new era of automated visual assistance for people who are blind or low vision (BLV). Yet, these models have not bee…
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
Daniela Massiceti, Luisa Zintgraf, John Bronskill +6
Object recognition has made great advances in the last decade, but predominately still relies on many high-quality training examples per object category. In contrast, learning new…