InfiGUIAgent: A Novel Multimodal Generalist GUI Agent with Native Reasoning and Reflection
Developing Graphical User Interface (GUI) Agents faces two key challenges that hinder...
Salesforce AI Introduces TACO: A New Family of Multimodal Action Models that Combine Reasoning...
Developing effective multi-modal AI systems for real-world applications requires handling diverse tasks...
Meta AI Introduces CLUE (Constitutional MLLM JUdgE): An AI Framework Designed to Address the...
The rapid growth of digital platforms has brought image safety into sharp...
Researchers from Fudan University and Shanghai AI Lab Introduces DOLPHIN: A Closed-Loop Framework for...
Artificial Intelligence (AI) is revolutionizing how discoveries are made. AI is creating...
R3GAN: A Simplified and Stable Baseline for Generative Adversarial Networks GANs
GANs are often criticized for being difficult to train, with their architectures...
This AI Paper Introduces Toto: Autoregressive Video Models for Unified Image and Video Pre-Training...
Autoregressive pre-training has proved to be revolutionary in machine learning, especially concerning...
What are Small Language Models (SLMs)?
Large language models (LLMs) like GPT-4, PaLM, Bard, and Copilot have made...
RAG-Check: A Novel AI Framework for Hallucination Detection in Multi-Modal Retrieval-Augmented Generation Systems
Large Language Models (LLMs) have revolutionized generative AI, showing remarkable capabilities in...
What are Large Language Model (LLMs)?
Understanding and processing human language has always been a difficult challenge in...
SepLLM: A Practical AI Approach to Efficient Sparse Attention in Large Language Models
Large Language Models (LLMs) have shown remarkable capabilities across diverse natural language...
