Research Papers Pri4R: Learning World Dynamics for Vision-Language-Action Models with Privileged 4D Representation
Research Papers Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challenges
Research Papers Not All News Is Equal: Topic- and Event-Conditional Sentiment from Finetuned LLMs for Aluminum Price Forecasting
Research Papers GST-VLA: Structured Gaussian Spatial Tokens for 3D Depth-Aware Vision-Language-Action Models
Research Papers ReDON: Recurrent Diffractive Optical Neural Processor with Reconfigurable Self-Modulated Nonlinearity
Research Papers Sim2Act: Robust Simulation-to-Decision Learning via Adversarial Calibration and Group-Relative Perturbation