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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Hong-Yan Xie

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Preprint Aug 2026

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs

Experimental results show that DEFT-RLVR improves AD reasoning while preserving or even enhancing general visual capabilities, and Autonomous-Driving Multiple-Choice Question (AD-MCQ) provides a flexible, scalable, and extensible foundation for future research on verifiable AD reasoning.

Zi-Xuan Huang, Yang Zhou, Kai-Xuan Wang et al. · 0 citations

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