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Lucas Aust
Observed name:
Aust, Lucas
Institution:
University of South Carolina
Observed institution:
University of South Carolina
ORCID:
0009-0009-7363-3072
Observed ORCID:
0009-0009-7363-3072
OpenAlex ID:
A5097358282
Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions
2024
·
Vuruma, Sai Krishna Revanth
, Wu, Dezhi
, et al.
·
arXiv (Cornell University)
·
19
PDF
Can GPT-4 Help Detect Quit Vaping Intentions? An Exploration of Automatic Data Annotation Approach
2024
·
Vuruma, Sai Krishna Revanth
, Wu, Dezhi
, et al.
·
arXiv (Cornell University)
·
8
PDF
Advancing Human-Centered AI in Clinical Decision Support: Sociocognitive Human-in-the-Loop Study in HIV Care
2026
·
Dezhi Wu
, Valerie Vera
, et al.
·
Journal of Medical Internet Research
Multi-Agent Adjudication for Transtheoretical Model-Based Classification of Vaping Cessation Stages in Reddit Vaping Discourse
2026
·
Lucas Aust
, Anthony Fu
, et al.
·
IEEE International Conference on Healthcare Informatics (ICHI)
The Role of Prompting Strategies in AI-Assisted Thematic Analysis
2026
·
Jiaxuan Zhang
, Dezhi Wu
, et al.
·
IEEE International Conference on Healthcare Informatics (ICHI)
Using Large Language Models and Prompt Strategies to Annotate Healthcare Posts on Social Media
2026
·
Lucas Aust
, Anthony Fu
·
Lecture notes in computer science
Automated Reddit Data Annotation with Large Language Models
2025
·
Sai Vuruma
, Dezhi Wu
, et al.
·
IEEE International Conference on Healthcare Informatics (ICHI)
Is Tree-of-Thought Prompting Strategy Better than Chain-of-Thought? Vaping Cessation Analysis Using Large Language Models
2025
·
Aust, Lucas
, Fu, Anthony
, et al.
·
PubMed Central
Automated Reddit Data Annotation with Large Language Models
2025
·
Vuruma, Sai
, Wu, Dezhi
, et al.
·
Scholar Commons (University of South Carolina)
Is Tree-of-Thought Prompting Strategy Better than Chain-of-Thought? Vaping Cessation Analysis Using Large Language Models.
2024
·
Lucas Aust
, Anthony Fu
, et al.
·
PubMed
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Works count:
10
Citation count:
27
H-index:
2
I10-index:
1
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