Author

Ravi Satya Durga Prasad Yenugula

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Preprint Aug 2026

A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency

Labeling large text corpora with LLM teachers has become a practical route to training data at scale. At millions of items, hand-labeling every batch is not feasible, and two questions dominate: what label quality a teacher buys per dollar, and how to keep a fleet of GPU workers busy under skewed, failure-prone workloa...

Ravi Satya Durga Prasad Yenugula · 0 citations

Preprint Aug 2026

Wiring Beats Blending: What Transfers Between Transformer Sizes -- and What Doesn't

Model families are typically trained size by size, each from scratch. Can a pretrained large model instead be converted into a smaller sibling? We characterize the 1.4B->410M conversion in Pythia end to end. Representations align strongly across sizes (ridge R^2=0.84) while parameters align weakly. Dense weight project...

Ravi Satya Durga Prasad Yenugula · 0 citations