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Long-WAM: Scaling the Context of World-Action Models

Read the original at HF Daily Papers

Summary

Researchers introduce Long-WAM, a framework that scales context for real-time robot control. Increasing history from 0.0 to 19.2 seconds raises success rates from 63.3% to 78.7%.

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