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Found 3 papers, 2 papers with code
ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality
This paper explores the intersection of technology and sleep pattern comprehension, presenting a cutting-edge two-stage framework that harnesses the power of Large Language Models (LLMs).
MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings
This study introduces a novel prediction model, Mobile App Prediction Leveraging Large Language Model Embeddings (MAPLE), which employs Large Language Models (LLMs) and installed app similarity to overcome these challenges.
CoSEM: Contextual and Semantic Embedding for App Usage Prediction
App usage prediction is important for smartphone system optimization to enhance user experience.
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