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Achieve robust imbalanced classification with scarce minority samples by turning a generative VAE into a discriminative classifier using distribution-aware fine-tuning and statistically sound hypothesis testing.
LLMs can now tap into the full power of R's statistical methods: a new retrieval method boosts package retrieval accuracy by 17% by understanding data distributions, not just function names.
