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Identifying challenging reasoning examples using just the first 100 tokens can drastically reduce data curation costs while enhancing model performance.
A training-free intervention can boost VLA model success rates by over 4% without any additional training or modifications.
Real-time safety filtering for VLA models can be achieved without additional training by harnessing attention heads to localize targets and avoid collisions with moving obstacles.
