Large Language Models (LLMs) have achieved significant success across va...
We propose ConGraT(Contrastive Graph-Text pretraining), a general,
self-...
Despite the many use cases for large language models (LLMs) in the desig...
Fast and efficient semantic segmentation of large-scale LiDAR point clou...
As political attitudes have diverged ideologically in the United States,...
Understanding public discourse on emergency use of unproven therapeutics...
Social media data such as Twitter messages ("tweets") pose a particular
...
The time at which a message is communicated is a vital piece of metadata...
The essential task of Topic Detection and Tracking (TDT) is to organize ...
Entity linking (EL), the task of disambiguating mentions in text by link...
Learning visual representations of medical images is core to medical ima...
Data augmentation has led to substantial improvements in the performance...
Previous works related to automatic personality recognition focus on usi...
Several computational models have been developed to detect and analyze
d...
We propose DialectGram, a method to detect dialectical variation across
...