Papers / preprint 2025

Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Kim et al. · Stanford · arXiv:2502.19645

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Parallel decoding, action chunking and continuous action heads raise fine-tuned VLA throughput 25x and lift bimanual ALOHA success to 97%.

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