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Foundation Model Team

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Jul 2026

Mach-Mind-4-Flash Technical Report

Mach-Mind-4-Flash, a 35B-parameter Mixture-of-Experts (MoE) agentic model with 3B activated parameters, achieves performance on par with or surpassing that of 100B-parameter-class models through post-training optimization alone without scaling pre-training compute.

Foundation Model Team · arXiv.org · 3 citations · ⚡1

Preprint Aug 2026

XCoT-VLA: Executable Chain-of-Thought for Vision-Language-Action Driving

This work proposes XCoT-VLA, which replaces descriptive rationales with compact executable CoT tokens learned from automatically constructed Reason-Action supervision, and demonstrates that driving-oriented reasoning can be compact, executable, and directly connected to trajectory generation.

Foundation Model Team, XPeng Inc · 0 citations