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Found 4 papers, 1 papers with code
AppAgent: Multimodal Agents as Smartphone Users
Recent advancements in large language models (LLMs) have led to the creation of intelligent agents capable of performing complex tasks.
The News Delivery Channel Recommendation Based on Granular Neural Network
As is known, traditional news recommendation systems mostly employ techniques based on collaborative filtering and deep learning, but the performance of these algorithms is constrained by the sparsity of the data and the scalability of the approaches.
DroidBot-GPT: GPT-powered UI Automation for Android
Given a natural language description of a desired task, DroidBot-GPT can automatically generate and execute actions that navigate the app to complete the task.
Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism
Pre-training of deep convolutional neural networks (DCNNs) plays a crucial role in the field of visual sentiment analysis (VSA).
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