4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
What Makes Multimodal In-Context Learning Work?
Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord +2
Large Language Models have demonstrated remarkable performance across various tasks, exhibiting the capacity to swiftly acquire new skills, such as through In-Context Learning (ICL…
cs.CL2024★ 4 cited
Cross-Attention Watermarking of Large Language Models
Folco Bertini Baldassini, Huy H. Nguyen, Ching-Chung Chang +1
A new approach to linguistic watermarking of language models is presented in which information is imperceptibly inserted into the output text while preserving its readability and o…