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New REKI VLA Model Achieves Strong Performance-Size Balance

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced REKI, a 2.4 billion parameter vision-language-action model (VLA) that achieves a strong balance between performance and size. Trained solely on public data, REKI demonstrates competitive results on benchmarks like LIBERO-Plus, RoboTwin Clean2Rand, and RoboCasa365, with larger models being its only superior. The model incorporates a memory mechanism using register tokens to access recent past information, which enhances success rates and reduces oscillations in robotic tasks. AI

IMPACT This model's efficient design and strong performance could accelerate research and development in robotics and embodied AI.

RANK_REASON The cluster describes a new research paper detailing a novel vision-language-action model.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New REKI VLA Model Achieves Strong Performance-Size Balance

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The cluster describes a new research paper detailing a novel vision-language-action model.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 Deutsch(DE) · Juliette Marrie, Paul Pacaud, Adrien Ramanana Rahary, Shizhe Chen, Moritz B\"ohle ·

    REKI: Registering Knowledge in VLAs

    arXiv:2610.22178v1 Announce Type: cross Abstract: We introduce REKI, a 2.4B vision-language-action model (VLA) pretrained exclusively on public data that sets a new Pareto frontier between performance and model size: on LIBERO-Plus, RoboTwin Clean2Rand and RoboCasa365, it is outp…

  2. Hugging Face Daily Papers TIER_1 Deutsch(DE) ·

    REKI: Registering Knowledge in VLAs

    We introduce REKI, a 2.4B vision-language-action model (VLA) pretrained exclusively on public data that sets a new Pareto frontier between performance and model size: on LIBERO-Plus, RoboTwin Clean2Rand and RoboCasa365, it is outperformed only by models about twice its size. REKI…

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