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ITMO University, Saint Petersburg, Russia
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CS-JEPA achieves unprecedented label-efficient collective-state prediction in decentralized robot swarms, outperforming traditional methods with significantly fewer parameters.
Codec fidelity, not latent generation, is the primary determinant of quality in compressed short-text generation, with reconstruction metrics showing dramatic improvements.
Refreshing stale Semantic IDs in generative retrieval boosts recall by aligning new IDs to the existing vocabulary, sidestepping costly full model retraining.
