Large language models (LLMs) are increasingly recognized for their advanced language
capabilities, offering significant assistance in diverse areas like medical communication …

Today's robot policies exhibit subpar performance when faced with the challenge of
generalizing to novel environments. Human corrective feedback is a crucial form of …

We propose MultiDoc2Dial, a new task and dataset on modeling goal-oriented dialogues
grounded in multiple documents. Most previous works treat document-grounded dialogue …

Pre-trained transformer models shine in many natural language processing tasks and
therefore are expected to bear the representation of the input sentence or text meaning …

Advancements in prompt tuning of vision-language models have underscored their potential
in enhancing open-world visual concept comprehension. However, prior works only …

The joint visual-language model CLIP has enabled new and exciting applications, such as
open-vocabulary segmentation, which can locate any segment given an arbitrary text query …

An evaluation is administered to measure students' learning outcomes, which nowadays
become challenging for instructors as student growth increases exponentially. Several …

Proper codification of medical diagnoses and procedures is essential for optimized health
care management, quality improvement, research, and reimbursement tasks within large …

A sentence embedding vector can be obtained by connecting a global average pooling
(GAP) to a pre-trained language model. The problem of such a sentence embedding vector …

The detection of mental disorders through social media has received significant attention.
With the growing prevalence of Autism Spectrum Disorder (ASD) and the inherent difficulties …