Deep learning approaches have recently raised the bar in many fields, from Natural
Language Processing to Computer Vision, by leveraging large amounts of data. However …

Privacy and memory are two recurring themes in a broad conversation about the societal
impact of AI. These concerns arise from the need for huge amounts of data to train deep …

We compare various forms of prompts to represent event types and develop a unified
framework to incorporate the event type specific prompts for supervised, few-shot, and zero …

Addressing the challenge of low-resource information extraction remains an ongoing issue
due to the inherent information scarcity within limited training examples. Existing data …

In the problem of few-shot object detection, class prototype knowledge in previous works is
not be fully refined and utilized due to lack of instances. We noticed that the application of …