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Traditional text embedding benchmarks fail to capture the nuances of long-horizon memory retrieval, but this new benchmark reveals that bigger models don't always win, and performance on standard tasks doesn't guarantee success in complex, context-dependent memory scenarios.
Ditch continuous pose regression for articulated objects: DICArt's discrete diffusion approach unlocks more reliable 6D pose estimation by respecting kinematic constraints and navigating the search space more effectively.
