Generative text-to-image models have gained great popularity among the p...
Entities can be expressed in diverse formats, such as texts, images, or
...
We propose attribute-aware multimodal entity linking, where the input is...
Current research in form understanding predominantly relies on large
pre...
Medical images are generally acquired with limited field-of-view (FOV), ...
Most existing works on continual learning (CL) focus on overcoming the
c...
We compare various forms of prompts to represent event types and develop...
Distributed learning has become an integral tool for scaling up machine
...
Event extraction is typically modeled as a multi-class classification pr...
Lending decisions are usually made with proprietary models that provide
...
Seeking to address the fundamental issue of memory in lifelong learning,...
We propose a possible solution to a public challenge posed by the Fair I...