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Contributed Papers

Large Language Models and their Applications

Wed, Aug 6, 8:30 AM - 10:20 AM Room CC-106A Music City Center

Oluwole OyebamijiChair

Section on Statistical Learning and Data Science

7 Presentations

WITHDRAWN: AI Revolution in Government Statistics: Boosting Efficiency and Data Quality

8:35 AM - 9:50 AM

Co-authors: Daniel Tze Wei Sim (Ministry of Manpower), Boon Heng Ang

intelligent AI Bot occupation auto-coder and classification

AI-Powered Critical Reflection: Measuring Transformative Learning Through Simulated Decision-Making

8:50 AM - 9:05 AM

Co-authors: Hanxia Li, Junyi Yu, Hanxia Li

Generative AI Transformative Learning NLP Reflective Coaching Professional Development Cognitive Complexity

An Evaluation Framework for Ambient Digital Scribing Tools in Clinical Applications

9:05 AM - 9:20 AM

Co-authors: Haoyuan Wang (Duke), Haoyuan Wang (Duke)

Evaluation Framework AI governance Ambient Digital Scribing AI in Healthcare Large Language Models Health Informatics

CoT Information: A Theory of Statistical Learning under Chain-of-Thought Supervision

9:20 AM - 9:35 AM

Co-authors: Awni Altabaa, Omar Montasser (Yale University), John Lafferty (Yale University), John Lafferty (Yale University)

Statistical Learning Theory Autoregressive Learning Out-of-Distribution (OOD) Generalization Length Generalization Language Models Machine Learning

WITHDRAWN Dive Inside a Digital Assistant Brain

9:35 AM - 9:50 AM

Co-authors: Walid Sharabati (Purdue University)

natural language processing digital (virtual) assistant language model utterance intent recognition and entity extraction classification

Large language models empower meta-analysis in the big data era

9:50 AM - 10:05 AM

Co-authors: Owen Sun (California Academy of Mathematics and Science), Owen Sun (California Academy of Mathematics and Science), Hojin Moon (California State University - Long Beach), Michelle Cheuk (California State University, Long Beach)

natural language processing open big data study screening data-driven research text mining

Representing a Collection of Large Language Models as a Gaussian Mixture

10:05 AM - 10:20 AM

Co-authors: Zekun Wang (Johns Hopkins University), Zekun Wang (Johns Hopkins University), Carey E. Priebe (Johns Hopkins University), Runbing Zheng (Johns Hopkins University)

Gaussian Mixture Model Multidimensional Scaling Central Limit Theorem Prompt Augmentation Large Language Model

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