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News/SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning
arxiv
PublishedJune 30, 2026 at 4:00 AM

SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning

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arXiv:2602.02472v2 Announce Type: replace-cross Abstract: Progressive Learning (PL) reduces pre-training computational overhead by gradually increasing model scale. While prior work has extensively explored depth expansion, width expansion remains significantly understudied, with the few existing me

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