12 citations · 16 across the 4 of their papers we have counts for
4 papers
SuperHF: Supervised Iterative Learning from Human Feedback
Gabriel Mukobi, Peter Chatain, Su Fong +4
While large language models demonstrate remarkable capabilities, they often present challenges in terms of safety, alignment with human values, and stability during training. Here,…
Sumformer: Universal Approximation for Efficient Transformers
Silas Alberti, Niclas Dern, Laura Thesing +1
Natural language processing (NLP) made an impressive jump with the introduction of Transformers. ChatGPT is one of the most famous examples, changing the perception of the possibil…
PIGEON: Predicting Image Geolocations
Lukas Haas, Michal Skreta, Silas Alberti +1
Planet-scale image geolocalization remains a challenging problem due to the diversity of images originating from anywhere in the world. Although approaches based on vision transfor…
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization
Lukas Haas, Silas Alberti, Michal Skreta
Image geolocalization is the challenging task of predicting the geographic coordinates of origin for a given photo. It is an unsolved problem relying on the ability to combine visu…