A vision-language driving planner that adapts its chain-of-thought to the scene and uses tree-search-guided reinforcement learning reports best average trajectory error and planning score on nuScenes and NAVSIM.
Seed2.0 Model Card: Towards in- telligence frontier for real-world complexity.https:// seed.bytedance.com/en/seed2, 2026
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving
A vision-language driving planner that adapts its chain-of-thought to the scene and uses tree-search-guided reinforcement learning reports best average trajectory error and planning score on nuScenes and NAVSIM.