ROAM freezes specialist models and uses LLM priors plus online evidence in a 5-D semantic latent space to cut major-shift MAE by over 20% with under 0.02 ms overhead.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Retraining VMAF on teleoperation-specific subjective ratings reduces RMSE from 10.36 to 8.83 and MAD from 8.71 to 6.38 compared to the standard model.
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Open-Ended Scenario Reasoning for Specialist Model Adaptation
ROAM freezes specialist models and uses LLM priors plus online evidence in a 5-D semantic latent space to cut major-shift MAE by over 20% with under 0.02 ms overhead.
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Beyond VMAF: Towards Application-Specific Metrics for Teleoperation Video
Retraining VMAF on teleoperation-specific subjective ratings reduces RMSE from 10.36 to 8.83 and MAD from 8.71 to 6.38 compared to the standard model.