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Forget task-specific fine-tuning: TSEmbed unlocks SOTA multimodal embeddings by disentangling task objectives with a Mixture-of-Experts and a novel expert-aware negative sampling strategy.
Flow-based VLAs can now learn online without likelihoods or value networks, unlocking better generalization in complex embodied control tasks.
