Distilling and retrieving generalizable knowledge for robot manipulation via language corrections
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 …
generalizing to novel environments. Human corrective feedback is a crucial form of …
MultiDoc2Dial: Modeling dialogues grounded in multiple documents
We propose MultiDoc2Dial, a new task and dataset on modeling goal-oriented dialogues
grounded in multiple documents. Most previous works treat document-grounded dialogue …
grounded in multiple documents. Most previous works treat document-grounded dialogue …
Tuning multi-mode token-level prompt alignment across modalities
Advancements in prompt tuning of vision-language models have underscored their potential
in enhancing open-world visual concept comprehension. However, prior works only …
in enhancing open-world visual concept comprehension. However, prior works only …
Zero-guidance segmentation using zero segment labels
P Rewatbowornwong, N Chatthee… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …
open-vocabulary segmentation, which can locate any segment given an arbitrary text query …
[HTML][HTML] Toward intelligent open-ended questions evaluation based on predictive optimization
An evaluation is administered to measure students' learning outcomes, which nowadays
become challenging for instructors as student growth increases exponentially. Several …
become challenging for instructors as student growth increases exponentially. Several …
[HTML][HTML] Systematic evaluation of common natural language processing techniques to codify clinical notes
Proper codification of medical diagnoses and procedures is essential for optimized health
care management, quality improvement, research, and reimbursement tasks within large …
care management, quality improvement, research, and reimbursement tasks within large …
TA-SBERT: token attention sentence-BERT for improving sentence representation
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 …
(GAP) to a pre-trained language model. The problem of such a sentence embedding vector …
Towards finding the lost generation of autistic adults: A deep and multi-view learning approach on social media
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 …
With the growing prevalence of Autism Spectrum Disorder (ASD) and the inherent difficulties …
EGFI: drug–drug interaction extraction and generation with fusion of enriched entity and sentence information
Motivation The rapid growth in literature accumulates diverse and yet comprehensive
biomedical knowledge hidden to be mined such as drug interactions. However, it is difficult …
biomedical knowledge hidden to be mined such as drug interactions. However, it is difficult …
[HTML][HTML] Classification of twitter vaping discourse using BERTweet: comparative deep learning study
Background: Twitter provides a valuable platform for the surveillance and monitoring of
public health topics; however, manually categorizing large quantities of Twitter data is labor …
public health topics; however, manually categorizing large quantities of Twitter data is labor …