Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

Abstract: This study explores the application and effectiveness of Eye Movement Modeling Examples (EMME) in learning Standard Operating Procedures (SOP) in the manufacturing industry, where improving ...

Abstract: Learning multimodal policies is crucial for enhancing exploration in online reinforcement learning (RL), especially in tasks with continuous action spaces and non-convex reward landscapes.

LLaVA-OneVision-1.5-RL introduces a training recipe for multimodal reinforcement learning, building upon the foundation of LLaVA-OneVision-1.5. This framework is designed to democratize access to ...

The batch command help text contains no examples showing how to use multimodal inputs. Users cannot discover batch multimodal capabilities from built-in help. The batch command builder includes ...

In the following, we delineate the underpinnings essential for the design of educational settings specifically for vulnerable populations such as refugee children. We commence with an analysis of the ...

Multimodal reasoning, where models integrate and interpret information from multiple sources such as text, images, and diagrams, is a frontier challenge in AI. VL-Cogito is a state-of-the-art ...