10 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2026
CORE: Context-Robust Remasking for Diffusion Language Models
Kevin Zhai, Sabbir Mollah, Zhenyi Wang +1
Standard decoding in Masked Diffusion Models (MDMs) is hindered by context rigidity: tokens are retained based on transient high confidence, often ignoring that early predictions l…
cs.CV2012★ 8 cited
Modeling Images using Transformed Indian Buffet Processes
Ke Zhai, Yuening Hu, Sinead Williamson +1
Latent feature models are attractive for image modeling, since images generally contain multiple objects. However, many latent feature models ignore that objects can appear at diff…
cs.AI2011★ 10 cited
Using Variational Inference and MapReduce to Scale Topic Modeling
Ke Zhai, Jordan Boyd-Graber, Nima Asadi
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique for exploring document collections. Because of the increasing prevalence of large datasets, there is a need…