Utah is working to navigate AI in ways that operate within data-driven guardrails while advancing innovation and human ...
Abstract: World models, the key component of model-based reinforcement learning (MBRL), enable sample-efficient learning by modeling the environment. However, for challenging visual robotic ...
Abstract: Recent popularization of the Internet of Vehicles (IoVs) and vehicles-to-everything (V2X) enables the emergence of real-time vehicular applications, posing challenges to resourcelimited ...
Javascript must be enabled to use this site. Please enable Javascript in your browser and try again. Get the app that makes your AARP membership truly mobile! AARP ...
The code for TLoRA: Task-aware Low Rank Adaptation of Large Language Models (ACL2026 Main) Low-Rank Adaptation (LoRA) has become a widely adopted parameter-efficient fine-tuning method for large ...