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The data pyramid framework reveals how the interplay of diverse data sources can unlock new capabilities in embodied agents, highlighting critical gaps in current methodologies.
Achieving a 76.2% relative gain in multi-step reasoning success rates, HDR redefines the capabilities of video models in real-time applications.
Key contribution not extracted.
MLLMs stumble badly when asked to reason about safety in lab settings, dropping 32% in performance compared to general knowledge, revealing a critical gap for real-world deployment.
