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  3. NoRD: A Data-Efficient Vision-Language-Action Model that Dri
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NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning

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Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning

PDF: https://arxiv.org/pdf/2602.21172v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning

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Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

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References: 0

Sources: 0

Coverage: 17%

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Prior Work
ATA: Bridging Implicit Reasoning with Attention-Guided and Action-Guided Inference for Vision-Language Action Models
Score 5.0stable
Higher Viability
NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous Driving
Score 7.0up
Higher Viability
UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving
Score 7.0up
Higher Viability
Recursive Belief Vision Language Model
Score 7.0up
Higher Viability
VLM-AutoDrive: Post-Training Vision-Language Models for Safety-Critical Autonomous Driving Events
Score 7.0up
Higher Viability
All Roads Lead to Rome: Incentivizing Divergent Thinking in Vision-Language Models
Score 7.0up
Higher Viability
DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
Score 8.0up
Higher Viability
Probing the Reliability of Driving VLMs: From Inconsistent Responses to Grounded Temporal Reasoning
Score 6.0up

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