Fine-Grained Annotation Boosts VLA Performance
JeffDean · x · 2026-07-12
This repost introduces a VLA model study combining vision + proprioception: by using finer-grained sub-task annotations, the model achieved a new SOTA in sub-task generation and generalized better across different embodiments.
The post highlights two specific results: achieving 93.1 F1@50 on REASSEMBLE and 98.6 on the Amazon Robotics blade insertion task. The original thread is linked for further reading.
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