driving simulation 1LiDAR synthesis 1long-horizon streaming 1multimodal generation 1object manipulation 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Control-Diverse Reinforcement Fine-Tuning: Decoupling the Shared Control Bottleneck of RL Post-Training
Binwen Tan, Jingchao Wang, Dengzhe Hou +6
Reinforcement learning post-training unlocks complex reasoning in LLMs. Yet benchmark scores reveal only whether a model improved, not what changed inside it, nor how it splits fin…
cs.CV2026
MWorld: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long Streaming
Ke Cheng, Hanqiao Ye, Lei Shi +8
The paper introduces M⁴World, a multimodal driving world model that generates synchronized surround-view video and LiDAR streams while allowing fine-grained, interactive manipulati…