Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-17
Biography and Research Information
OverviewAI-generated summary
Xinli Xiao is a graduate student at Arkansas Tech University. Their research focuses on natural language processing techniques applied to multimodal disaster-related tweet classification. This work involves the use of parameter-efficient fine-tuning of large language models to analyze and categorize tweets during disaster events.
Metrics
- Publications: 1
Selected Publications
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Multimodal Disaster-Related Tweet Classification with Parameter-Efficient Fine-Tuning of Large Language Models (2026)
Collaboration Network
Top Collaborators
Dongping Guo
California State University, East Bay (US)
1 shared publication
- Multimodal Disaster-Related Tweet Classification with Parameter-Efficient Fine-Tuning of Large Language Models
Anh Tuấn Trần
California State University, East Bay (US)
1 shared publication
- Multimodal Disaster-Related Tweet Classification with Parameter-Efficient Fine-Tuning of Large Language Models
Hongmin Li
California State University, East Bay (US)
1 shared publication
- Multimodal Disaster-Related Tweet Classification with Parameter-Efficient Fine-Tuning of Large Language Models
Doina Caragea
Kansas State University (US)
1 shared publication
- Multimodal Disaster-Related Tweet Classification with Parameter-Efficient Fine-Tuning of Large Language Models
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