2 citations · 2 across the 3 of their papers we have counts for
4 papers
Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation
Hermann Kumbong, Ishan S. Khare, Iddah Mlauzi +6
Diffusion language models (DLMs) offer parallel sampling for faster generation than autoregressive models, an increasingly important advantage as inference becomes a dominant compu…
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Vaishnavh Nagarajan, Chen Henry Wu, Charles Ding +1
We design a suite of minimal algorithmic tasks that are a loose abstraction of open-ended real-world tasks. This allows us to cleanly and controllably quantify the creative limits…
VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks
Lawrence Jang, Yinheng Li, Dan Zhao +5
Videos are often used to learn or extract the necessary information to complete tasks in ways different than what text and static imagery alone can provide. However, many existing…
Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders
Denny Wu, Hirofumi Kobayashi, Charles Ding +2
A crucial challenge in image-based modeling of biomedical data is to identify trends and features that separate normality and pathology. In many cases, the morphology of the imaged…