2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 1 cited
GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving
Lloyd Russell, Anthony Hu, Lorenzo Bertoni +4
Generative models offer a scalable and flexible paradigm for simulating complex environments, yet current approaches fall short in addressing the domain-specific requirements of au…
cs.AI2024
Batch-Instructed Gradient for Prompt Evolution:Systematic Prompt Optimization for Enhanced Text-to-Image Synthesis
Xinrui Yang, Zhuohan Wang, Anthony Hu
Text-to-image models have shown remarkable progress in generating high-quality images from user-provided prompts. Despite this, the quality of these images varies due to the models…
cs.SE2024★ 2 cited
LangProp: A code optimization framework using Large Language Models applied to driving
Shu Ishida, Gianluca Corrado, George Fedoseev +5
We propose LangProp, a framework for iteratively optimizing code generated by large language models (LLMs), in both supervised and reinforcement learning settings. While LLMs can g…