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cs.CV2026
SparseWAM: Driving World-Action Models are Worth 16 Register Tokens
Yixiang Yang, Lizhong Zhang, Xingyu Zhang +6
World Action Models (WAMs) transfer scene-dynamics priors to planning by jointly forecasting future scenes and ego trajectories. However, WAMs built on video generators must genera…
cs.CV2026
ForeDrive: Foresight-Guided End-to-End Autonomous Driving with a Planning-Relevant Latent World Model
Sinuo Wang, Zichong Gu, Yuhan Huang +10
Existing latent world models are typically optimized for future predictability, yet the resulting representations are not necessarily useful for planning in autonomous driving. Pre…