2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CL2023★ 2 cited
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,…
cs.LG2023
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…
cs.CV2023
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…