Agentic reasoning models trained with multimodal reinforcement learning (MMRL) have become increasingly capable, yet they are almost universally optimized using sparse, outcome-based rewards computed ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

💬 Reason, interact, remember — all in one universe. MemVerse is an open-source framework designed to provide continuous, multimodal memory for AI agents. It organizes and retrieves information from ...

1 Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan 2 Division of Molecular Epidemiology, Kobe University Graduate School ...

Abstract: This systematic literature review explores the application of multimodal learning analysis (MMLA), with physiological signals collected through wearable devices as the primary data source, ...

This repository contains the official implementation of our work, which introduces a new paradigm for training large vision-language models. We argue that the key to unlocking advanced multimodal ...

Abstract: The design of effective multimodal feature fusion strategies is the key task for multimodal learning, which often requires huge computational costs with extensive expertise. In this paper, ...

Introduction: Plant classification is vital for ecological conservation and agricultural productivity, enhancing our understanding of plant growth dynamics and aiding species preservation. The advent ...