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cs.LG2025
SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model
Shuhan Tan, John Lambert, Hong Jeon +6
The goal of traffic simulation is to augment a potentially limited amount of manually-driven miles that is available for testing and validation, with a much larger amount of simula…
cs.LG2025
Interactive Post-Training for Vision-Language-Action Models
Shuhan Tan, Kairan Dou, Yue Zhao +1
We introduce RIPT-VLA, a simple and scalable reinforcement-learning-based interactive post-training paradigm that fine-tunes pretrained Vision-Language-Action (VLA) models using on…
cs.LG2024★ 1 cited
Wolf: Dense Video Captioning with a World Summarization Framework
Boyi Li, Ligeng Zhu, Ran Tian +20
We propose Wolf, a WOrLd summarization Framework for accurate video captioning. Wolf is an automated captioning framework that adopts a mixture-of-experts approach, leveraging comp…