To this end, we employ a pre-trained vision LLM [20] as the interface and propose a novel Adapter-in-Adapter (AnA) framework, allowing efficient extension and alignment for other modalities.

In the U.S. historically, local newspapers drew their content largely from newswires

However, the existing method heavily relies on human-annotated agent profiles (e.g., name, age, personality, relationships with others,

Among all MLLMs, proprietary models consistently perform well.

To perform systematic evaluations, we set up 32 various tasks, including improvements to existing multimodal tasks, extension of text-only tasks to multimodal scenarios, and novel methods for risk assessment, which focus on models' basic performance with practical significance.

Graph Neural Networks (GNNs) excel across various applications but remain vulnerable to adversarial attacks, particularly Graph Injection Attacks (GIAs), which inject malicious nodes into the original graph and pose realistic threats.

When do mesa-optimization algorithms emerge in autoregressively trained transformers?

Sora's high-motion intensity and long consistent videos have significantly impacted

Structured Transform(SS1), an expressive and GPU-friendly operator that accelerates inference.