Efficient and Personalized Mobile Health Event Prediction via Small Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Xin, Dang, Ting, Kostakos, Vassilis, Jia, Hong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
by: Wang, Jiawei, et al.
Published: (2024)
by: Wang, Jiawei, et al.
Published: (2024)
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model
by: Lifelo, Zita, et al.
Published: (2024)
by: Lifelo, Zita, et al.
Published: (2024)
BiasEdit: Debiasing Stereotyped Language Models via Model Editing
by: Xu, Xin, et al.
Published: (2025)
by: Xu, Xin, et al.
Published: (2025)
Emissions and Performance Trade-off Between Small and Large Language Models
by: Garg, Anandita, et al.
Published: (2025)
by: Garg, Anandita, et al.
Published: (2025)
Editing Personality for Large Language Models
by: Mao, Shengyu, et al.
Published: (2023)
by: Mao, Shengyu, et al.
Published: (2023)
Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model
by: Shao, Mingchen, et al.
Published: (2025)
by: Shao, Mingchen, et al.
Published: (2025)
Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
by: Liu, Yuanhao, et al.
Published: (2026)
by: Liu, Yuanhao, et al.
Published: (2026)
Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understanding
by: Jia, Hong, et al.
Published: (2025)
by: Jia, Hong, et al.
Published: (2025)
Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy
by: Penny-Dimri, Jahan C., et al.
Published: (2025)
by: Penny-Dimri, Jahan C., et al.
Published: (2025)
Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
by: Kapoor, Anjali K., et al.
Published: (2026)
by: Kapoor, Anjali K., et al.
Published: (2026)
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
by: Zhang, Liang, et al.
Published: (2024)
by: Zhang, Liang, et al.
Published: (2024)
On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
by: Nguyen, Dang, et al.
Published: (2025)
by: Nguyen, Dang, et al.
Published: (2025)
Predicting Human Mobility during Extreme Events via LLM-Enhanced Cross-City Learning
by: Tang, Yinzhou, et al.
Published: (2025)
by: Tang, Yinzhou, et al.
Published: (2025)
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
by: Zhao, Yibo, et al.
Published: (2025)
by: Zhao, Yibo, et al.
Published: (2025)
Implicit Personalization in Language Models: A Systematic Study
by: Jin, Zhijing, et al.
Published: (2024)
by: Jin, Zhijing, et al.
Published: (2024)
BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
by: Xu, Xin, et al.
Published: (2025)
by: Xu, Xin, et al.
Published: (2025)
Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
by: Huang, Saffron, et al.
Published: (2025)
by: Huang, Saffron, et al.
Published: (2025)
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
by: Faiz, Ahmad, et al.
Published: (2023)
by: Faiz, Ahmad, et al.
Published: (2023)
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey
by: Deng, Chengyuan, et al.
Published: (2024)
by: Deng, Chengyuan, et al.
Published: (2024)
Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
by: Liu, Shuo, et al.
Published: (2025)
by: Liu, Shuo, et al.
Published: (2025)
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
by: Xu, Tianyang, et al.
Published: (2025)
by: Xu, Tianyang, et al.
Published: (2025)
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
by: Zhu, Zhaowei, et al.
Published: (2023)
by: Zhu, Zhaowei, et al.
Published: (2023)
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
by: Arakelyan, Erik, et al.
Published: (2024)
by: Arakelyan, Erik, et al.
Published: (2024)
Enabling On-Device LLMs Personalization with Smartphone Sensing
by: Zhang, Shiquan, et al.
Published: (2024)
by: Zhang, Shiquan, et al.
Published: (2024)
Correlated Errors in Large Language Models
by: Kim, Elliot, et al.
Published: (2025)
by: Kim, Elliot, et al.
Published: (2025)
Hypothesis Generation with Large Language Models
by: Zhou, Yangqiaoyu, et al.
Published: (2024)
by: Zhou, Yangqiaoyu, et al.
Published: (2024)
Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)
by: Manvi, Rohin, et al.
Published: (2024)
Prediction-Powered Ranking of Large Language Models
by: Chatzi, Ivi, et al.
Published: (2024)
by: Chatzi, Ivi, et al.
Published: (2024)
Large Language Models Can Infer Personality from Free-Form User Interactions
by: Peters, Heinrich, et al.
Published: (2024)
by: Peters, Heinrich, et al.
Published: (2024)
RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models
by: Ding, Jiale, et al.
Published: (2025)
by: Ding, Jiale, et al.
Published: (2025)
Psychological Counseling Ability of Large Language Models
by: Peng, Fangyu, et al.
Published: (2025)
by: Peng, Fangyu, et al.
Published: (2025)
Assessing Large Language Models on Climate Information
by: Bulian, Jannis, et al.
Published: (2023)
by: Bulian, Jannis, et al.
Published: (2023)
The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
by: Han, Pengrui, et al.
Published: (2025)
by: Han, Pengrui, et al.
Published: (2025)
Health Insurance Coverage Rule Interpretation Corpus: Law, Policy, and Medical Guidance for Health Insurance Coverage Understanding
by: Gartner, Mike
Published: (2025)
by: Gartner, Mike
Published: (2025)
A Taxonomy of Stereotype Content in Large Language Models
by: Nicolas, Gandalf, et al.
Published: (2024)
by: Nicolas, Gandalf, et al.
Published: (2024)
Deliberative Alignment: Reasoning Enables Safer Language Models
by: Guan, Melody Y., et al.
Published: (2024)
by: Guan, Melody Y., et al.
Published: (2024)
Bias and Fairness in Large Language Models: A Survey
by: Gallegos, Isabel O., et al.
Published: (2023)
by: Gallegos, Isabel O., et al.
Published: (2023)
Transforming Agency. On the mode of existence of Large Language Models
by: Barandiaran, Xabier E., et al.
Published: (2024)
by: Barandiaran, Xabier E., et al.
Published: (2024)
TPLogAD: Unsupervised Log Anomaly Detection Based on Event Templates and Key Parameters
by: Lu, Jiawei, et al.
Published: (2024)
by: Lu, Jiawei, et al.
Published: (2024)
Similar Items
-
HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring
by: Wang, Xin, et al.
Published: (2025) -
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
by: Wang, Jiawei, et al.
Published: (2024) -
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model
by: Lifelo, Zita, et al.
Published: (2024) -
BiasEdit: Debiasing Stereotyped Language Models via Model Editing
by: Xu, Xin, et al.
Published: (2025) -
Emissions and Performance Trade-off Between Small and Large Language Models
by: Garg, Anandita, et al.
Published: (2025)