RankElastor mitigates embedding collapse via spectrum-robust token mixing and GLU-based P-FFNs, yielding better performance and scaling on industrial recommendation datasets.
Brendan McMahan, Gary Holt, D
2 Pith papers cite this work. Polarity classification is still indexing.
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Social media research yields inconclusive causal findings due to system complexity, and progress requires mechanistic explanations that integrate observational and experimental approaches while recognizing their shared limitations.
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Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation
RankElastor mitigates embedding collapse via spectrum-robust token mixing and GLU-based P-FFNs, yielding better performance and scaling on industrial recommendation datasets.
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Moving towards informative and actionable social media research
Social media research yields inconclusive causal findings due to system complexity, and progress requires mechanistic explanations that integrate observational and experimental approaches while recognizing their shared limitations.