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Progress reward modeling could revolutionize how robots learn in dynamic environments by providing nuanced feedback beyond mere task completion.
Open-sourcing SAIL-VL2 gives the multimodal community a new SOTA vision-language model under 4B parameters, driven by innovations in data curation, progressive training, and sparse MoE architectures.
