Multimodal Large Language Models (MLLMs) mimic human perception and reasoning
system by integrating powerful Large Language Models (LLMs) with various modality …

The rapid evolution of Multimodal Large Language Models (MLLMs) has brought substantial
advancements in artificial intelligence, significantly enhancing the capability to understand …

We present AutoGLM, a new series in the ChatGLM family, designed to serve as foundation
agents for autonomous control of digital devices through Graphical User Interfaces (GUIs) …

Lifelong learning, also known as continual or incremental learning, is a crucial component
for advancing Artificial General Intelligence (AGI) by enabling systems to continuously adapt …

This white paper, developed through close collaboration between IBM Research and UIUC
researchers within the IIDAI Institute, envisions transforming hybrid cloud systems to meet …

Smartphones have become indispensable in modern life, yet navigating complex tasks on
mobile devices often remains frustrating. Recent advancements in large multimodal model …

Advancements in Large Language Models (LLMs) are revolutionizing the development of
autonomous agentic systems by enabling dynamic, context-aware task decomposition and …

With the success of large language models (LLMs) driving progress towards general-
purpose AI, there has been a growing focus on extending these models to multi-modal …