11 citations · 23 across the 15 of their papers we have counts for
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cs.CV2023★ 11 cited
AppAgent: Multimodal Agents as Smartphone Users
Chi Zhang, Zhao Yang, Jiaxuan Liu +6
Recent advancements in large language models (LLMs) have led to the creation of intelligent agents capable of performing complex tasks. This paper introduces a novel LLM-based mult…
cs.CV2023★ 2 cited
StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
Yanda Li, Chi Zhang, Gang Yu +6
The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 have sparked significant interest in the development of multimodal Large Language Models (LLMs). A primary res…
cs.CV2023
Disentangled Pre-training for Image Matting
Yanda Li, Zilong Huang, Gang Yu +3
Image matting requires high-quality pixel-level human annotations to support the training of a deep model in recent literature. Whereas such annotation is costly and hard to scale,…