Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
LatentMAS is a multi-agent reasoning framework that moves agent collaboration from token space into the model’s latent space. Instead of producing long textual reasoning traces, agents communicate by ...
Abstract: Deep neural networks (DNNs) have achieved remarkable progress in remote sensing image (RSI) analysis, yet their vulnerability to subtle adversarial perturbations poses a critical threat to ...
Abstract: Inspired by the performance and scalability of autoregressive large language models (LLMs), transformer-based models have seen recent success in the visual domain. This study investigates a ...
This repository provides the official implementation for our paper: Steering Your Diffusion Policy with Latent Space Reinforcement Learning (CoRL 2025). Specifically, it contains a JAX-based ...